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  "sourcesContent": ["import { jsx as _jsx, jsxs as _jsxs } from \"react/jsx-runtime\";\nimport { addPropertyControls, ControlType, Link } from \"framer\";\nimport * as React from \"react\"; /**\n                                * @framerRecordIdKey id\n                                * @framerSlug AqSrYZkRk\n                                * @framerData\n                                */\nconst data = [{\n  AqSrYZkRk: \"what-is-centralized-or-decentralize-decision-making\",\n  ChIDLP7g0: \"Discover the pros and cons of centralized and decentralized decision-making and find out which approach is best for your company. Consider the size and complexity of your organization and weigh the benefits of a more agile, decentralized approach against the potentially more efficient centralized method.\",\n  fdrdneEfZ: \"2022-12-20T00:00:00.000Z\",\n  fosXhL9qw: \"Discover the pros and cons of centralized and decentralized decision-making and find out which approach is best for your company. Consider the size and complexity of your organization and weigh the benefits of a more agile, decentralized approach against the potentially more efficient centralized method.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,Ujt4jRYMKrLLfqC30cy4QvCdqco.jpg\",\n      \"data-framer-height\": \"720\",\n      \"data-framer-width\": \"1280\",\n      height: \"360\",\n      src: new URL(\"https://framerusercontent.com/images/Ujt4jRYMKrLLfqC30cy4QvCdqco.jpg\").href,\n      style: {\n        aspectRatio: \"1280 / 720\"\n      },\n      width: \"640\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Introduction\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In business, there are two main types of decision-making: centralized and decentralized. Centralized decision-making is when a small group makes a company\u2019s decisions of people at the top of the organization. Decentralized decision-making is when lower-level employees or managers make decisions. There are pros and cons to both centralized and decentralized decision-making. In this blog post, we will explore the advantages and disadvantages of both approaches so that you can decide which is best for your business.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is Centralized or Decentralized Decision\\xa0Making?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are two types of decision-making structures in organizations: centralized and decentralized. Centralized decision-making is when most or all decisions are made by one person or a small group of people at the top of the organization. Decentralized decision-making is when decisions are made by people throughout the organization, at different levels, and in different departments.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Centralized decision-making can be efficient because it eliminates the need for discussion and debate among a large group of people. The decisions can be made quickly and easily by those with the knowledge and authority to do so. However, centralized decision-making can also lead to stagnation and a lack of creativity because only a few people make all the decisions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Decentralized decision-making can encourage creativity and innovation because more people are involved in the process. It can also help build buy-in from employees because they have a say in what happens in their work lives. However, decentralized decision-making can also be slower and less efficient because there is more discussion and debate involved.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Advantages and Disadvantages of Centralized Decision\\xa0Making\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"There are advantages and disadvantages to centralized decision-making.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Advantages:\"\n      })\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Centralized decision-making can lead to faster decisions because there is only one person or a small and close group making the decision.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Centralized decision-making can be more efficient because it eliminates the need for communication between different people or groups.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Centralized decision-making can lead to more consistent decisions because the same person or group is making all of the decisions.\"\n          })\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Disadvantages:\"\n      })\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Centralized decision-making can be less flexible because it can be difficult to make changes once a decision has been made.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Centralized decision-making can be less responsive to local needs because decisions are made by a central authority that may not be aware of or responsive to local needs.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Centralized decision-making can be less democratic because one person or group has all of the power and may not take into account the needs and wants of others.\"\n          })\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Advantages and Disadvantages of Decentralized Decision\\xa0Making\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"There are advantages and disadvantages to decentralized decision-making.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Advantages:\"\n      })\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Allows for input from a wider range of people\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"It empowers individuals and can lead to more creative solutions.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Is more flexible and responsive to change\"\n          })\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Disadvantages:\"\n      })\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"This can lead to a lack of coordination between individuals.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"It can be slower than centralized decision-making.\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"This may result in decisions not aligning with the organization\u2019s goals.\"\n          })\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"When to Use Centralized or Decentralized Decision\\xa0Making\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The most important factor in deciding whether to use centralized or decentralized decision-making is the level of knowledge and expertise required to make the decision. If a single individual can make the decision with the requisite knowledge and expertise, then centralized decision-making is appropriate. However, if the decision requires input from multiple individuals with different areas of expertise, then decentralized decision-making is more appropriate.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another factor to consider in deciding whether to use centralized or decentralized decision-making is the impact of the decision on the organization as a whole. Suppose the decision will have a significant impact on the organization. In that case, it is generally best to use centralized decision-making so that all stakeholders can be involved in the decision-making process. However, if the decision will only have a limited impact on the organization, then decentralized decision-making may be more appropriate.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Finally, another factor to consider in deciding whether to use centralized or decentralized decision-making is the time frame within which the decision needs to be made. If time is of the essence and there is not enough time for all stakeholders to be involved in the decision-making process, then centralized decision-making may be necessary. However, if there is no time pressure and all stakeholders can be involved in the decision-making process, then decentralized decisions are usually preferable.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There is no right or wrong answer regarding centralized or decentralized decision-making\u200A\u2014\u200Ait all depends on what works best for your company. If you have a large, complex organization, then centralized decision-making may be the best way to go. However, if you have a smaller company or one that is more nimble and agile, decentralized decision-making may be the better option. Ultimately, it\u2019s up to you to decide what will work best for your business.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"UnqgHmlit\",\n  J5QGOt2qn: {\n    alt: \"decision-making\",\n    src: new URL(\"https://framerusercontent.com/images/Ujt4jRYMKrLLfqC30cy4QvCdqco.jpg\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/Ujt4jRYMKrLLfqC30cy4QvCdqco.jpg?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/Ujt4jRYMKrLLfqC30cy4QvCdqco.jpg?scale-down-to=1024\").href} 1024w, ${new URL(\"https://framerusercontent.com/images/Ujt4jRYMKrLLfqC30cy4QvCdqco.jpg\").href} 1280w`\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    alt: \"Raza Sheikh\",\n    src: new URL(\"https://framerusercontent.com/images/ed36yrvhkX2cnXjpENbjqJeAo.svg\").href\n  },\n  U48Uzs3uQ: \"Business\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"What is Centralized or Decentralize Decision\\xa0Making\"\n}, {\n  AqSrYZkRk: \"ml-and-the-problem-of-bias\",\n  ChIDLP7g0: \"With the recent major developments in machine learning, it is evident that bias within ML is a serious problem that needs to be addressed. However, there are ways to combat this issue through transparency and accountability.\",\n  fdrdneEfZ: \"2022-10-18T00:00:00.000Z\",\n  fosXhL9qw: \"With the recent major developments in machine learning, it is evident that bias within ML is a serious problem that needs to be addressed. However, there are ways to combat this issue through transparency and accountability.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Machine learning (ML) is a powerful tool that can be used for a variety of tasks, from facial recognition to detecting fraudulent activity. However, ML is not without its flaws. One of the most pressing issues with ML is bias. Bias can enter into ML models in several ways, from the data that is used to train the model to how the model is designed. This can lead to serious consequences, such as inaccurate predictions and unfair decisions about individuals. In this blog post, we will explore the problem of bias in ML. We will look at some examples of how bias can enter into ML models and the consequences of this. We will also discuss some ways in which you can avoid bias when using ML.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is\\xa0bias?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Bias is a subtle form of discrimination that can creep into machine learning models if the data used to train them is not carefully curated. For example, if a model is trained on historical data that reflects the biased views of a particular demographic group, then it may learn to perpetuate those biases.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Bias can also arise when a model is designed in such a way as to favor one outcome over another. For example, if a model is designed to minimize false positives (a type of error), it may inadvertently increase the number of false negatives (another type of error).\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The problem of bias is compounded by the fact that machine learning models are often opaque\u200A\u2014\u200Ameaning that it can be difficult for humans to understand how or why they arrived at a particular decision. This lack of transparency can make it hard to detect and correct bias.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Ultimately, the goal should be to create machine learning models that are fair, inclusive, and transparent. But this is easier said than done. As researchers continue to grapple with the problem of bias in machine learning, it\u2019s important to be aware of the potential risks and take steps to mitigate them.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is\\xa0ML?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Bias in machine learning (ML) is a serious problem. It can lead to inaccurate results and conclusions, which can have far-reaching consequences.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many ways in which bias can creep into ML systems. For instance, data bias can occur when training data is not representative of the real world. This can happen if the data is collected in a biased way or if it is pre-processed in a way that introduces bias.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Algorithmic bias can also occur when the algorithms used to train ML models are biased. This can happen for a variety of reasons, including the use of biased features or labels or the existence of so-called \u201Cproxy\u201D variables that are correlated with the protected variable but not predictive of the outcome.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Finally, even decision-making processes that incorporate ML models can be biased. This can happen when humans introduce bias at any stage of the process, from data collection to model training to model interpretation and decision-making.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The problem of bias in ML is thus multifaceted and complex. But it is also an important problem to address, as even small amounts of bias can have a significant impact when applied at scale.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"The problem of bias within\\xa0ML\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Bias within ML is a serious problem that can lead to inaccurate results. There are two main types of bias: selection bias and confirmation bias.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Selection bias\"\n      }), \" occurs when the data used to train the ML algorithm is not representative of the entire population. This can lead to inaccurate predictions because the algorithm has not been trained on a diverse set of data.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Confirmation bias\"\n      }), \" occurs when the algorithm only looks for evidence that confirms its existing beliefs. This can also lead to inaccurate predictions because the algorithm does not consider all available evidence.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Both of these biases can be difficult to avoid, but it is important to be aware of them to prevent them from affecting your results. You can use some methods to try to reduce bias, such as cross-validation and stratified sampling. However, even with these methods, it can be difficult to eliminate bias from your ML models.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Kinds of ML\\xa0bias\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are several types of machine learning bias that can occur:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Bias in ML can be classified into three kinds: data bias, algorithm bias, and user bias.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,pyYfCoKJpNOpHmGFiI9KxEy0r8.jpg\",\n      \"data-framer-height\": \"720\",\n      \"data-framer-width\": \"1280\",\n      height: \"360\",\n      src: new URL(\"https://framerusercontent.com/images/pyYfCoKJpNOpHmGFiI9KxEy0r8.jpg\").href,\n      style: {\n        aspectRatio: \"1280 / 720\"\n      },\n      width: \"640\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"1. \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Data bias\"\n      }), \" is present when the training data used to train the machine learning model is not representative of real-world data. This can lead to inaccurate predictions when the model is applied to new data. For example, if a model is trained on predominantly male data, it may not perform well on predominantly female data.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"2. \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Algorithm bias\"\n      }), \" occurs when the machine learning algorithm design favors certain outcomes over others. For example, an algorithm that tends to predict income level based on zip code is likely biased against low-income individuals.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"3. \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"User bias\"\n      }), \" exists when humans use their own biases to interpret or use the results of a ML model. For example, if a person believes that all people of a certain race are lazy, they may be more likely to interpret the results of a facial recognition system as correctly identifying a lazy person if that person is of that race.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Kinds of data\\xa0bias\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are several different kinds of data bias that can be present in machine learning.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"One common type is \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"selection bias\"\n      }), \", which occurs when the training data is not representative of the real-world population. This can lead to overfitting, where the model performs well on the training data but poorly on new data.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Another type of bias is \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"measurement bias\"\n      }), \", which occurs when the data\u2019s features or labels are inaccurate. This can lead to inaccurate results from the model.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Finally, there is \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"cognitive bias\"\n      }), \" caused by humans making judgments about data that are not based on objective evidence. This can lead to poor decision-making by the model and can even result in discriminatory outcomes.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Kinds of Algorithmic bias\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are three primary algorithmic bias kinds:\\xa0\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Confirmation bias\"\n      }), \" is when an algorithm perpetuates existing biases instead of correcting them. For example, if an algorithm relies on historical data to make predictions, it may reinforce existing patterns of discrimination.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Representation bias\"\n      }), \" is how data is represented within the algorithm to favor one particular outcome over another. For example, if an algorithm only considers a user\u2019s age and not their gender, it may be more likely to produce ageist results.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Evaluation bias\"\n      }), \" occurs when the metric used to evaluate the performance of a machine learning algorithm is itself biased. For example, if an accuracy metric does not take into account false positives and false negatives equally, it will favor algorithms that produce more of one type of error over another.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"How to avoid bias in\\xa0ML\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a few key ways to avoid bias in machine learning:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"1. Be aware of your data. Know where it comes from and how it was collected. This will help you identify any possible sources of bias.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"2. Clean and prepare your data thoroughly. Remove any invalid or missing data points, and make sure that all data is scaled correctly.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"3. Choose appropriate algorithms for your data and your problem. Some algorithms are more susceptible to bias than others, so selecting one that is robust to bias is important.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"4. Evaluate your model carefully. Use multiple measures of performance, including accuracy, precision, recall, and F1 score. Compare your results to a baseline model or human performance if possible.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"5. Tune your model hyperparameters to reduce bias. Try different values for each parameter and see how it affects the model\u2019s performance metrics.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"In conclusion, it is evident that bias within ML is a serious problem that needs to be addressed. However, there are ways to combat this issue through transparency and accountability. By being aware of the potential for bias in ML algorithms, we can work towards creating fairer and more equitable systems. Use \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"yxCwKyLQ1\"\n        },\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"AI Surge Cloud\"\n        })\n      }), \" to fight the bias in your ML algorithms.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"J60YEhKLA\",\n  J5QGOt2qn: {\n    alt: \"ML Bias Image\",\n    src: new URL(\"https://framerusercontent.com/images/pyYfCoKJpNOpHmGFiI9KxEy0r8.jpg\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/pyYfCoKJpNOpHmGFiI9KxEy0r8.jpg?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/pyYfCoKJpNOpHmGFiI9KxEy0r8.jpg?scale-down-to=1024\").href} 1024w, ${new URL(\"https://framerusercontent.com/images/pyYfCoKJpNOpHmGFiI9KxEy0r8.jpg\").href} 1280w`\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    alt: \"Raza Sheikh\",\n    src: new URL(\"https://framerusercontent.com/images/45vKjEHqn8Tluv2bMNeMoANHoFM.png\").href\n  },\n  U48Uzs3uQ: \"Predictive Analysis\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"ML And The Problem Of\\xa0Bias\"\n}, {\n  AqSrYZkRk: \"data-strategy-for-startups\",\n  ChIDLP7g0: \"Startups have a lot to think about when it comes to data. What data to collect? How to store it? How to use it to drive growth?\",\n  fdrdneEfZ: \"2022-10-13T00:00:00.000Z\",\n  fosXhL9qw: \"Startups have a lot to think about when it comes to data. What data to collect? How to store it? How to use it to drive growth?\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Startups have a lot to think about when it comes to data. What data to collect? How to store it? How to use it to drive growth?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In this article, we'll provide an overview of the key considerations for startups when developing a data strategy.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Develop a data-driven mindset\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The biggest challenge for startups is to develop a data-driven mindset. Too often, startups focus on intuition and gut feelings when making decisions rather than relying on data. This can lead to suboptimal decision-making and wasted resources.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,n0Oseer1j58FhQ3gUL57Aq9JDz0.jpg\",\n      \"data-framer-height\": \"992\",\n      \"data-framer-width\": \"1488\",\n      height: \"496\",\n      src: new URL(\"https://framerusercontent.com/images/n0Oseer1j58FhQ3gUL57Aq9JDz0.jpg\").href,\n      style: {\n        aspectRatio: \"1488 / 992\"\n      },\n      width: \"744\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"To overcome this challenge, startups need to develop a data-driven mindset. This means collecting and analyzing data to inform decision-making.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It sounds simple, but it's not always easy to do in practice.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In my humble opinion (IMHO), there are a few things startups can do to develop a data-driven mindset:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      style: {\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgba(0, 0, 0, 0.9)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(Link, {\n            href: \"https://ai-surge.cloud/no-code-connector\",\n            openInNewTab: true,\n            smoothScroll: false,\n            children: /*#__PURE__*/_jsx(\"a\", {\n              children: \"Collect data\"\n            })\n          }), \" and centralise it from multiple sources: customer surveys, website analytics, social media, etc.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(Link, {\n            href: \"https://ai-surge.cloud/explore\",\n            openInNewTab: true,\n            smoothScroll: false,\n            children: /*#__PURE__*/_jsx(\"a\", {\n              children: \"Analyze the data\"\n            })\n          }), \" to identify trends and insights.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [\"Use the \", /*#__PURE__*/_jsx(Link, {\n            href: \"https://ai-surge.cloud/model-ops\",\n            openInNewTab: true,\n            smoothScroll: false,\n            children: /*#__PURE__*/_jsx(\"a\", {\n              children: \"insights from the data\"\n            })\n          }), \" to make decisions about product development, marketing, and other business areas.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Rinse and repeat! The data should be collected and analyzed regularly to ensure that decision-making is based on the most up-to-date information.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Developing a data-driven mindset is critical for startups if they want to make informed decisions that will help them grow and succeed.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Collect the right data\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Trust me! Startups have a lot of data to collect, from customer information to sales numbers.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,Zn1tWRcM6aMUzofv4UPrSaD8ZrQ.jpg\",\n      \"data-framer-height\": \"372\",\n      \"data-framer-width\": \"744\",\n      height: \"186\",\n      src: new URL(\"https://framerusercontent.com/images/Zn1tWRcM6aMUzofv4UPrSaD8ZrQ.jpg\").href,\n      style: {\n        aspectRatio: \"744 / 372\"\n      },\n      width: \"372\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"But with all this data, it can be difficult to know where to start!\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"That's why having a data strategy is so essential for startups.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"By collecting the right data, startups can make better business, product, and marketing decisions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a few things to keep in mind when collecting data for your startup:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      style: {\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgba(0, 0, 0, 0.9)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(\"strong\", {\n            children: \"Know what you want to track\"\n          }), \". Before you start collecting data, you need to know what you want to track. What are your goals? What do you want to improve? What do you want to learn? Once you know what you want to track, you can start collecting the right data.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(\"strong\", {\n            children: \"Collect data from multiple source\"\n          }), \". You need data from multiple sources to get a complete picture of your business. This could include customer surveys, financial reports, website analytics, and more. By collecting data from multiple sources, you'll be able to get a more accurate picture of your business.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(\"strong\", {\n            children: \"Use the right tools\"\n          }), \". There are many different tools available for collecting and analyzing data. But not all tools are created equal. Make sure you use the right tools for your data strategy.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(\"strong\", {\n            children: \"Keep your data organized\"\n          }), \". Data can be overwhelming. That's why it's important to keep it organized. Create a system for storing and organizing your data. This will make it easier to find and use the data when you need it.\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [/*#__PURE__*/_jsx(\"strong\", {\n            children: \"Analyze your data\"\n          }), \". Collecting data is only half the battle. The other half is analyzing the data. This step will help you make sense of all the data you've collected and identify trends and patterns.\"]\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Analyze your data\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"As a startup, you have a lot of data at your disposal. This data can be incredibly valuable in helping you understand your business and make better decisions. However, sifting through all of this data can be daunting.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,nTvAKkaji24IvD5wtFwriLibo4.jpg\",\n      \"data-framer-height\": \"1000\",\n      \"data-framer-width\": \"1404\",\n      height: \"500\",\n      src: new URL(\"https://framerusercontent.com/images/nTvAKkaji24IvD5wtFwriLibo4.jpg\").href,\n      style: {\n        aspectRatio: \"1404 / 1000\"\n      },\n      width: \"702\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"That's where data analysis comes in. Data analysis can help you make sense of all your information and identify trends and patterns. This, in turn, can help you make better decisions about your business.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are several different ways to analyze your data. You can use Excel or Google Sheets to create basic charts and graphs. You can use a tool like Tableau or Looker to get more sophisticated.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"No matter what method you use, data analysis is essential to running a successful startup.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Use data to make decisions\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,quyHfBljlv3Ehjr1alAYb4kN6Gg.jpg\",\n      \"data-framer-height\": \"993\",\n      \"data-framer-width\": \"1488\",\n      height: \"496\",\n      src: new URL(\"https://framerusercontent.com/images/quyHfBljlv3Ehjr1alAYb4kN6Gg.jpg\").href,\n      style: {\n        aspectRatio: \"1488 / 993\"\n      },\n      width: \"744\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is critical for startups. It allows you to make informed decisions about your product, marketing, and business. But data can be overwhelming, and it's not always clear how to use it effectively.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"That's where a data strategy comes in. A data strategy is a plan for how you will collect and use data to improve your business. It can help you focus on the right data, make sense of it, and use it to make better decisions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A data strategy is not a one-time project; it's an ongoing process.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"As your business grows and changes, your data strategy should also evolve. Here are a few tips to get started:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      style: {\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgba(0, 0, 0, 0.9)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Define your goals. What do you want to use data for? What kind of decisions do you want to be able to make? Be specific.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Collect the right data. There are many different types of data, but not all of them will be relevant to your business. Collect data that will help you achieve your goals.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Make sense of your data. Once you have collected data, you need to analyze it and draw conclusions from it. This can be difficult, but there are many resources.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Implement a data-driven culture\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If you want your startup to be successful, you need to make data a central part of your business. That means creating a data-driven culture where everyone in the company understands the importance of data and how it can be used to improve decision-making.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,4C109g4dplnGILemp2n8WkZxkak.jpg\",\n      \"data-framer-height\": \"1000\",\n      \"data-framer-width\": \"1333\",\n      height: \"500\",\n      src: new URL(\"https://framerusercontent.com/images/4C109g4dplnGILemp2n8WkZxkak.jpg\").href,\n      style: {\n        aspectRatio: \"1333 / 1000\"\n      },\n      width: \"666\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"One way to do this is to ensure that data is included in all aspects of the business, from product development to marketing and sales. All teams should use data to inform their decisions, and there should be a clear process.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another way to create a data-driven culture is to invest in employee training. Ensure they understand how to use data effectively and give them the tools they need to do their jobs.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data literacy is becoming increasingly important in today\u2019s business world, so your team must be up to date on the latest trends.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Finally, don\u2019t forget to lead by example. As the founder or CEO, you must set the company culture's tone. If you\u2019re not using data, it\u2019s unlikely that others will see its value. Show them how important data is by incorporating it into your decision-making process.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Get your free \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"AUDh3yNL8\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"AI Readiness strategy assessment \"\n        })\n      }), \"now!\"]\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is becoming increasingly important for startups. To make data-driven decisions, startups need to have a clear data strategy. Without a data strategy, startups will struggle to collect and analyze the data they need to make informed decisions. A good data strategy will help startups focus on the right data, collect it efficiently, and then use it effectively to improve their business.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"nHNwHiAa0\",\n  J5QGOt2qn: {\n    alt: \"Startup Strategy Image\",\n    src: new URL(\"https://framerusercontent.com/images/RHtqZbdUHWGxG2gGBESKRRevE.jpg\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/RHtqZbdUHWGxG2gGBESKRRevE.jpg?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/RHtqZbdUHWGxG2gGBESKRRevE.jpg\").href} 960w`\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    alt: \"Raza Sheikh\",\n    src: new URL(\"https://framerusercontent.com/images/45vKjEHqn8Tluv2bMNeMoANHoFM.png\").href\n  },\n  U48Uzs3uQ: \"Business\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Data Strategy for Startups\"\n}, {\n  AqSrYZkRk: \"citizen-data-scientists-to-maximize-your-data-analytics-strategy\",\n  ChIDLP7g0: \"AI-Surge is the latest innovation in citizen data science. It's designed to democratize data analytics by empowering anyone to be able to transform raw data into insights.\",\n  fdrdneEfZ: \"2022-10-12T00:00:00.000Z\",\n  fosXhL9qw: \"AI-Surge is the latest innovation in citizen data science. It's designed to democratize data analytics by empowering anyone to be able to transform raw data into insights.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Data & Analytics is a rapidly-growing field, and it's one of the most in-demand categories out there... And with good reason \u2013 data is becoming increasingly essential to businesses of all sizes in nearly every industry as they strive to make better, more informed decisions.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"But what exactly are data & analytics? And what are the different roles within the field?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In this blog post, we will explore the many different facets of data & analytics and the various roles that make up this exciting and ever-evolving field. From data scientists to analysts to engineers, read on to learn more about the different positions in data & analytics and what each entails.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What exactly are data & analytics?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data and analytics are two terms that are often used interchangeably, but they actually refer to two different things.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is the raw information that is collected, while analytics is the process of turning that data into insights. Let's keep it simple!\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What are the different roles within the field?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a variety of different roles within the field of data and analytics, each with its own set of responsibilities.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Primarily let's brush on the data journey.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,QCuULDRaYiebEv3FEZf4eRXtG1o.jpg\",\n      \"data-framer-height\": \"577\",\n      \"data-framer-width\": \"1024\",\n      height: \"288\",\n      src: new URL(\"https://framerusercontent.com/images/QCuULDRaYiebEv3FEZf4eRXtG1o.jpg\").href,\n      style: {\n        aspectRatio: \"1024 / 577\"\n      },\n      width: \"512\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The data journey is the process of acquiring, storing, processing, and analyzing data. \"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"This process can be divided into four main phases:\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"1. \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"MVyTtGW55\"\n        },\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data acquisition\"\n        })\n      }), \": This phase involves collecting data from various sources.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"2. \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"DzGeDr_3x\"\n        },\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data storage\"\n        })\n      }), \": This phase involves storing the collected data in a suitable format.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"3. \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"tKi2dd_FS\"\n        },\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data processing\"\n        })\n      }), \": This phase involves processing the stored data to extract useful information.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"4. \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"yxCwKyLQ1\"\n        },\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data analysis\"\n        })\n      }), \": This phase involves analyzing the processed data to draw conclusions or make predictions.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })]\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,w420BB5NXjaWq9QJFDmr192A.jpg\",\n      \"data-framer-height\": \"5760\",\n      \"data-framer-width\": \"3840\",\n      height: \"2880\",\n      src: new URL(\"https://framerusercontent.com/images/w420BB5NXjaWq9QJFDmr192A.jpg?scale-down-to=4096\").href,\n      style: {\n        aspectRatio: \"3840 / 5760\"\n      },\n      width: \"1920\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The role of Analytics managers/BI manager/D&A manager oversees the work of data analysts and data scientists. They also develop strategies and set goals for the use of data and analytics within their organization.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,ugLCFRlcaMe9ie1hi1F9XtREpRQ.jpg\",\n      \"data-framer-height\": \"2832\",\n      \"data-framer-width\": \"4240\",\n      height: \"1416\",\n      src: new URL(\"https://framerusercontent.com/images/ugLCFRlcaMe9ie1hi1F9XtREpRQ.jpg?scale-down-to=4096\").href,\n      style: {\n        aspectRatio: \"4240 / 2832\"\n      },\n      width: \"2120\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A data architect is responsible for designing and managing data systems. They work with data engineers to develop efficient ways to store and access data. Data architects also work with business analysts to understand the needs of the business and how data can be used to support decision-making.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,rh1iVgUbUjmAY0xxilayFTDBzk.png\",\n      \"data-framer-height\": \"1217\",\n      \"data-framer-width\": \"1280\",\n      height: \"608\",\n      src: new URL(\"https://framerusercontent.com/images/rh1iVgUbUjmAY0xxilayFTDBzk.png\").href,\n      style: {\n        aspectRatio: \"1280 / 1217\"\n      },\n      width: \"640\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data engineers are responsible for the construction and maintenance of data pipelines. In addition to their engineering duties, data engineers also work with data scientists to help them understand the data and develop models. Data engineers typically have a background in computer science or software engineering.\"\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,jvfNsoBkkLTdHcpcFTHjvules24.jpg\",\n      \"data-framer-height\": \"5304\",\n      \"data-framer-width\": \"7952\",\n      height: \"2652\",\n      src: new URL(\"https://framerusercontent.com/images/jvfNsoBkkLTdHcpcFTHjvules24.jpg?scale-down-to=4096\").href,\n      style: {\n        aspectRatio: \"7952 / 5304\"\n      },\n      width: \"3976\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Data analysts play a vital role in helping organizations make sense of their data and glean insights that can improve decision-making. In many cases, data analysts are responsible for designing and conducting analysis on data sets, as well as communicating their findings to stakeholders. To be successful in this role, data analysts must have strong analytical and problem-solving skills, as well as experience working with various data analysis tools and techniques. They must also be able to effectively communicate their findings to non-technical audiences.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })]\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,iuX3pw38f057ykpZ3N1NCbGaKA.jpg\",\n      \"data-framer-height\": \"3835\",\n      \"data-framer-width\": \"4620\",\n      height: \"1917\",\n      src: new URL(\"https://framerusercontent.com/images/iuX3pw38f057ykpZ3N1NCbGaKA.jpg?scale-down-to=4096\").href,\n      style: {\n        aspectRatio: \"4620 / 3835\"\n      },\n      width: \"2310\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Data scientists are in high demand as organizations strive to make better use of their data. They need to be able to collect, clean, and analyze data and then use their findings to improve business operations. Data scientists typically have a strong background in math and statistics, and they are often comfortable working with large datasets. They also need to be able to effectively communicate their findings to non-technical audiences. If you\u2019re interested in becoming a data scientist, you should consider pursuing a degree in data science or a related field. You can also find online courses and boot camps that will teach you the skills you need to succeed in this field.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Citizen Data Scientists to Maximize Your Data & Analytics Strategy\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data and analytics are critical for any organization that wants to stay competitive. But what if you don\u2019t have the budget to hire a team of data scientists?\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"One solution is to develop a citizen data science program where employees from other departments are trained to become data analysts. This can help you maximize your Data & Analytics strategy without breaking the bank.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is a citizen data scientist?\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"A citizen data scientist is a business user who has some data analytics skills and knowledge but is not a full-fledged data scientist. The term was coined by Gartner in 2012 and has been gaining popularity ever since.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"There are several reasons why organizations would want to empower their business users with some data analytics skills.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: 'First, it can help to close the so-called \"analytics gap,\" which is the gap between the demand for data-driven insights and the availability of trained data scientists.'\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Second, citizen data scientists can help to democratize data analytics within an organization, making it more accessible and widespread.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"And lastly, they can provide a cost-effective alternative to traditional data science roles, since they require less training and development time.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"So how do you become a citizen data scientist?\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There is no one-size-fits-all answer, but there are some key things you need to have to succeed in this role.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"First, you need to have some technical skillset \u2013 you should be able to use at least one statistical software package and one programming language.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Second, you need to be comfortable working with large amounts of data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"And lastly, you need to have strong business acumen and domain knowledge to translate your findings into actionable insights for your organization.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What are the benefits of using citizen data scientists?\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"There are many benefits to using citizen data scientists within your organization. Perhaps the most obvious benefit is that they can help you maximize your data and analytics strategy. By leveraging the power of data, citizen data scientists can help you make better decisions, faster. They can also help you improve operational efficiencies and reduce costs.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"In addition, citizen data scientists can help you tap into new markets and understand your customers better. They can also help you identify new business opportunities and areas for growth. Finally, citizen data scientists can help you build a more agile organization that is better equipped to respond to change.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"How can you maximize your Data & Analytics strategy with citizen data scientists?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Citizen data scientists can help organizations to maximize their Data & Analytics strategy in a number of ways.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Firstly, they can help to identify opportunities for further data collection and analysis.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Secondly, they can provide insights and recommendations based on their analysis of organizational data.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Finally, they can help to develop and implement Data & Analytics strategy within the organization.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Organizations should therefore consider how they can make use of citizen data scientists within their organization to maximize their D&A strategy. One way of doing this is by establishing a dedicated team or department of citizen data scientists, who can work alongside other professionals within the organization, such as data analysts and business intelligence experts.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Alternatively, organizations could make use of external consulting firms that specialize in working with citizen data scientists. Whichever approach is taken, it is important that organizations ensure that their citizen data scientists are given access to the necessary resources and support to be effective.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Case studies of businesses using citizen data scientists\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"As organizations strive to become more data-driven, the role of the citizen data scientist is becoming increasingly important. Citizen data scientists are employees who are not trained in data science but have the ability to analyze data and solve business problems.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Organizations can benefit from citizen data scientists in a number of ways. For one, they can help to fill the gaps left by traditional data scientists. Traditional data scientists are in high demand and can be difficult to find and retain. Citizen data scientists can help to fill this gap by providing organizations with the ability to analyze data and solve business problems.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Another benefit of citizen data scientists is that they can provide insights that would otherwise be missed by traditional data scientists. Because they come from a variety of backgrounds, citizen data scientists often have different perspectives on problems than traditional data scientists. This diversity of perspective can lead to insights that would otherwise be missed.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Finally, citizen data scientists can help to improve organizational decision-making. When traditional data scientists are not available, organizations often have to make decisions without the benefit of data analysis. Citizen data scientists can provide the organization with the ability to analyze data and make better decisions.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"One example of an organization that has benefited from citizen data scientists is Walmart. In 2015, Walmart launched a program called DataScience@Walmart to train employees in data science. The goal of the program was to empower employees to use data to solve business problems.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Since launching the program, Walmart has seen several benefits. For one, the company has been able to fill the gap left by traditional data scientists. In addition, Walmart has seen an increase in the number of insights generated by employees. Finally, Walmart has seen improved decision-making as a result of the program.\"]\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There's no doubt that data science is a hot topic in the business world today. But what exactly is data science, and how can it be used to maximum effect in your company? This is where citizen data scientists come in. Citizen data scientists are employees who have the necessary skills to analyze data and draw insights from it, but who don't necessarily have a formal background in data science. Utilizing citizen data scientists within your organization can help you get the most out of your data and make better decisions for your business.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"ztgUyoqzf\",\n  J5QGOt2qn: {\n    alt: \"Data Team AI Surge Image\",\n    src: new URL(\"https://framerusercontent.com/images/GLH0uk7QZ5olqDAMn7c8pb8mI.jpg\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/GLH0uk7QZ5olqDAMn7c8pb8mI.jpg?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/GLH0uk7QZ5olqDAMn7c8pb8mI.jpg?scale-down-to=1024\").href} 1024w, ${new URL(\"https://framerusercontent.com/images/GLH0uk7QZ5olqDAMn7c8pb8mI.jpg?scale-down-to=2048\").href} 2048w, ${new URL(\"https://framerusercontent.com/images/GLH0uk7QZ5olqDAMn7c8pb8mI.jpg\").href} 2240w`\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    alt: \"\",\n    src: new URL(\"https://framerusercontent.com/images/45vKjEHqn8Tluv2bMNeMoANHoFM.png\").href\n  },\n  U48Uzs3uQ: \"No Code\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"10 Absolutely Critical Citizen Data Scientist Skills\"\n}, {\n  AqSrYZkRk: \"1-why-data-quality-control-is-more-important-than-cost-cutting-in-machine-learning\",\n  ChIDLP7g0: \"Data is the lifeblood of machine learning. For any machine learning algorithm to produce accurate results, it needs to be trained on high-quality data. This is why data quality control is so important - without it, machine learning simply wouldn't be possible.\",\n  fdrdneEfZ: \"2022-09-28T00:00:00.000Z\",\n  fosXhL9qw: \"The importance of Data Quality in Machine Learning cannot be understated. Read on to find out how you can avoid the pitfalls and achieve success.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is the lifeblood of machine learning. For any machine learning algorithm to produce accurate results, it needs to be trained on high-quality data. This is why data quality control is so important - without it, machine learning simply wouldn't be possible.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is data quality control?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In machine learning, data quality control is the process of ensuring that your data is clean, accurate, and consistent. This is important because if your data is inaccurate, your machine learning models will be less effective. Data quality control can be time-consuming and costly, but it's worth it to ensure that your machine learning models are as accurate as possible.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Cost Cutting alone can lead to lower quality data\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"As machine learning becomes more and more commonplace, businesses are looking for ways to cut costs. However, one area where cost cutting can lead to problems is data quality control.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Data quality control is the process of ensuring that data is accurate, complete, and consistent. This is important because data is the foundation of machine learning. If the data is of poor quality, then the results of the machine learning will also be of poor quality.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Many factors can affect data quality, such as data entry errors, incorrect or missing values, and inconsistencies in formatting. Data quality control measures can help to identify and correct these problems.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"The cost of implementing data quality control measures may seem like an unnecessary expense, but it is important to remember that the cost of poor data quality can be much higher. Poor data can lead to inaccurate results, which can in turn lead to bad decisions being made. In some cases, these decisions can even have catastrophic consequences.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Ultimately, businesses need to weigh the cost of data quality control against the cost of dealing with poor data quality. In most cases, it will be worth it to invest in data quality control measures in order to ensure that the machine learning process produces accurate results.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Data quality is critical to the success of any machine learning project. Poor data quality can lead to inaccurate results, wasted time and resources, and ultimately, failed projects.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Cost-cutting should never come at the expense of data quality. When it comes to machine learning, quality control must take precedence over cost savings.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Data Quality Control ensures better results\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"We all know that cost-cutting is important in business. But when it comes to machine learning, data quality control is even more important.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Datasets for machine learning are getting larger and more complex. This means that the training process can be very resource-intensive. If your dataset is of poor quality, your results will be as well.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"Data quality control involves making sure that your data is accurate, consistent, and complete. This can be a time-consuming and expensive process, but it's worth it in the end.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"A good machine learning algorithm is only as good as the data it's trained on. So if you want to get the best results, you need to invest in quality data.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Implementing data quality control\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"As machine learning becomes more popular and commonplace, it's important to remember that data quality control is more important than cost-cutting. This is because, without clean and accurate data, machine learning models will not be able to produce reliable results.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"There are a few ways to ensure data quality in machine learning, including:\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"-Data pre-processing: This step includes tasks like data cleaning, normalization, and feature selection. It is important to do these things before training a machine learning model, as they can improve the model's accuracy.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"-Data augmentation: This is a process of adding more data to the training set, which can also help improve the accuracy of the model.\", /*#__PURE__*/_jsx(\"br\", {}), /*#__PURE__*/_jsx(\"br\", {}), \"By implementing these data quality control measures, you can be sure that your machine learning models will produce more accurate results.\"]\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data quality should always be a top priority when working with machine learning, regardless of cost. Inaccurate data can lead to inaccurate results, which can in turn cause problems down the line. It's always better to err on the side of caution and make sure that your data is as clean as possible before feeding it into a machine learning algorithm.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"The future of AI is in the cloud, and \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"tp88WdKn1\"\n        },\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"AI-Surge Cloud\"\n        })\n      }), \" provides you with the tools to make intelligent, data-driven decisions for your business with Data pre-processing and Data augmentation.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"OLFQLTeYo\",\n  J5QGOt2qn: {\n    alt: \"Mail Image\",\n    src: new URL(\"https://framerusercontent.com/images/WYoXNnCFxMFIgVXLhTc5uMPKLDE.jpg\").href,\n    srcSet: `${new URL(\"https://framerusercontent.com/images/WYoXNnCFxMFIgVXLhTc5uMPKLDE.jpg?scale-down-to=512\").href} 512w, ${new URL(\"https://framerusercontent.com/images/WYoXNnCFxMFIgVXLhTc5uMPKLDE.jpg?scale-down-to=1024\").href} 1024w, ${new URL(\"https://framerusercontent.com/images/WYoXNnCFxMFIgVXLhTc5uMPKLDE.jpg\").href} 2048w`\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/ed36yrvhkX2cnXjpENbjqJeAo.svg\").href\n  },\n  U48Uzs3uQ: \"No Code\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"#1 Why Data Quality Control is More important than Cost Cutting in Machine Learning\"\n}, {\n  AqSrYZkRk: \"what-is-decision-intelligence\",\n  ChIDLP7g0: \"Decision intelligence (DI) is the decision-making process based on data and analytics. It involves using data to understand the problem at hand, identify the best course of action, and decide accordingly.\\n\\n\",\n  fdrdneEfZ: \"2022-08-15T00:00:00.000Z\",\n  fosXhL9qw: \"Find out what Decision Intelligence is and how it can help your business in this article!\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Decision intelligence (DI) is the decision-making process based on data and analytics. It involves using data to understand the problem at hand, identify the best course of action, and decide accordingly.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"DI can be used in various situations, from personal finance to business strategy. DI can help you make better decisions in each case by considering all the relevant data and making sense of it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Many different methods and tools can be used for DI, but the basic process is always the same: gather data, analyze it, and make a decision. The key is to have a good understanding of the problem you're trying to solve and to use the right tools for the job.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"The different types of decision intelligence\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Decision intelligence is the process of making decisions based on data and analytics. There are different types of decision intelligence, each with its own benefits and drawbacks.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"One type of decision intelligence is predictive analytics. This type of decision intelligence uses data and statistical models to make predictions about future events. Predictive analytics can be used to forecast everything from demand for a product to the likelihood of a customer churning.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics is a powerful tool, but it has its limitations. One limitation is that predictive analytics can only make predictions based on past data. This means it can\u2019t consider unforeseen events that could impact the future. Another limitation is that predictive models can be complex and challenging to interpret.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another type of decision intelligence is prescriptive analytics. Prescriptive analytics goes one step further than predictive analytics by not just making predictions but also recommending actions that should be taken based on those predictions. Prescriptive analytics considers both historical and real-time data to make recommendations.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Prescriptive analytics can be used to recommend things like pricing strategies or which customers to target for upsells.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Pros and cons of decision intelligence\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Decision intelligence (DI) is a data-driven approach to decision-making that leverages artificial intelligence (AI) techniques to identify, assess and predict the outcomes of decisions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The benefits of DI include the ability to:\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"1. Make better decisions by understanding all the factors that influence a decision;\", /*#__PURE__*/_jsx(\"br\", {}), \"2. Automate repetitive or low-value tasks related to decision making;\", /*#__PURE__*/_jsx(\"br\", {}), \"3. Improve transparency and accountability by providing a clear audit trail of how and why decisions were made;\", /*#__PURE__*/_jsx(\"br\", {}), \"4. Generate new insights from data that would otherwise be unavailable or too difficult for humans to process.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are also some potential drawbacks to using DI, including:\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"1. The reliance on AI techniques that may not be well understood or trusted by decision makers;\", /*#__PURE__*/_jsx(\"br\", {}), \"2. The potential for biased or unethical decision-making if the data used to train the AI models is itself flawed;\", /*#__PURE__*/_jsx(\"br\", {}), \"3. The need for significant investment in data and computing resources to build and deploy DI systems;\", /*#__PURE__*/_jsx(\"br\", {}), \"4. The risk that automated decision-making will lead to sub-optimal outcomes if not used judiciously.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"How No-Code decision intelligence platform helps?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The no-Code decision intelligence platform enables business users to quickly and easily find the answers they need without involving IT. This helps to reduce the time and effort required to make decisions and makes it easier for business users to get the data they need when they need it.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The no-Code decision intelligence platform can also help to improve the quality of decisions by providing access to data that would otherwise be difficult or impossible to obtain. This can help ensure that decisions are based on the most accurate and up-to-date information.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"We are AI Surge Enterprise Decision Intelligence for Startups.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Why?\\xa0\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Because AI applications are\\xa0COMPLEX, EXPENSIVE & TIME-CONSUMING\\xa0- demanding an army of highly skilled data engineers with domain knowledge\u2026\\xa0this is scary because they are just few in numbers!\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"And that\u2019s a PROBLEM\u2026a Serious Problem - Because in the end, the Data Engineering teams are struggling not because they are not Good, but because the demand is too high!\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"To tackle this\u2026Businesses need a smarter, faster, and cheaper solution..\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A revolutionary thing about AI SURGE is\u2026 It\u2019s NO CODE\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"We are on a mission to Help non-tech companies build Real-time AI Applications...\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Decision intelligence is a process that helps you make better decisions by considering all of the available information. It is a systematic way to weigh all options and choose the best course of action. Decision intelligence aims to help you make decisions that are as close to perfect as possible. By using a No Code decision intelligence system, you can be sure that you are considering all of the relevant information and making the best possible choice.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"XglRvsnGd\",\n  J5QGOt2qn: {\n    alt: \"decision-intelligence\",\n    src: new URL(\"https://framerusercontent.com/images/tEs1VDwxS5QRExN6DfbgymTEU4.jpg\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Decision Intelligence\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"What is Decision Intelligence?\"\n}, {\n  AqSrYZkRk: \"a-data-mesh-architecture-the-new-way-to-link-your-data\",\n  ChIDLP7g0: \"Data mesh is a term used by enterprises to refer to the process of linking disparate data sources. This can be achieved in many ways, but one of the most popular architectures for doing so is called data mesh architecture. In this article, we'll take an in-depth look at how this architecture works and the benefits it provides.\",\n  fdrdneEfZ: \"2022-05-09T00:00:00.000Z\",\n  fosXhL9qw: \"Data mesh is a new way of linking data. It will provide an information-sharing architecture that can be used across any industry and in every sector of society.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Data mesh is a term used by enterprises to refer to the process of linking disparate data sources. This can be achieved in many ways, but one of the most popular architectures for doing so is called data mesh architecture. In this article, we'll take an in-depth look at how this architecture works and the benefits it provides.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is a Data Mesh Architecture?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A data mesh architecture is a new way to link your data. It is a scalable, decentralized, and self-organizing system that enables you to manage and curate your data in a more efficient and effective way. A data mesh architecture can be used to connect disparate data sources, process and analyze data in real-time, and provide access to data through APIs.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Why should you care?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A Data mesh architecture is the foundation of a data-driven environment and the starting point for your business intelligence strategy. It enables you to take control of your data flows, reduce costs, and increase insights.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It\u2019s also highly valuable for collecting and analyzing unstructured data as well as running machine learning models and advanced analytics at scale. By fundamentally changing how your data flows through an organization, a data mesh architecture supports new applications that were previously not possible.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"The Benefits of a Data Mesh Architecture\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data mesh is a new architecture for data management that promises to improve data quality and link data more effectively. This approach can be used to manage any type of data, including big data sets.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A data mesh architecture can offer many benefits over traditional approaches to data management. For example, it can help to:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"improve data quality by ensuring that all data is linked correctly\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"reduce the time needed to link data by using an automated process\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"increase the flexibility of the data management system by allowing different types of data to be linked together\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"reduce the cost of managing data by using open source software components to create a central point of control, where all important decisions about data management take place providing transparency and full traceability over file-based data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: 'According to the IDC in their new report \"Worldwide Semantic Information Management Market Shares, Strategies, and Forecasts, 2011-2015\", the need for data integration is growing exponentially. Of the 44 billion records managed by these companies, only 18% are integrated into a single database.'\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In addition to this, traditional methods of data integration can be costly and time-intensive. An approach based on a data mesh architecture can help organizations overcome these issues.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"How Does A Data Mesh Work?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data Mesh architecture does this by creating a central data store that can be accessed by all parts of the organization. This central store is then divided into smaller stores, each of which is dedicated to a specific task or area of the organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The data mesh architecture is designed to solve many of the problems that organizations face when trying to link their data together. One of the biggest problems is that different parts of the organization often have different types of data, which makes it difficult to link them together. The data mesh architecture solves this problem by creating a central data store that can be accessed by all parts of the organization. This central store is then divided into smaller stores, each of which is dedicated to a specific task or area of the organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another big problem that organizations face when trying to link their data together is that they often have different levels of security and privacy requirements. The data mesh architecture solves this problem by creating a central data store that can be accessed by all parts of the organization. This central store is then divided into smaller stores, each of which is dedicated to a specific task or area of the organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The data mesh architecture provides real-time access to all data within the organization, free from any limitations imposed by the availability of applications. The architecture also allows users to connect to the data they need in exactly the same way as they would connect over a local network. Furthermore, this connectivity is achieved without requiring any changes or enhancements to IT infrastructure, so connectivity can be put in place quickly and easily. It is possible for users to access single or multiple areas within a store simultaneously, so there is no need for unnecessary information proliferation and duplication. The transparency means that it may not be necessary for users even to know which location their data physically resides. The data mesh architecture provides real-time access to all data within the organization, free from any limitations imposed by the LAN. It allows users to access information regardless of their physical location within the organization, thereby improving productivity and efficiency.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Why use a Data Mesh Architecture instead of a centralized system?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a few key reasons to use a data mesh architecture instead of a centralized system.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"First, a data mesh offers a more robust and scalable way to manage data. With a centralized system, all of the data is stored in one place. This can quickly become overwhelming and difficult to manage as the data grows. With a data mesh, the data is spread out across multiple nodes, which makes it much easier to scale.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Second, a data mesh is more flexible and customizable. With a centralized system, you are limited to the functionality that the system offers. With a data mesh, you can easily add or remove nodes as needed to customize the system to your specific needs.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Third, a data mesh is more resilient. If one node goes down, the others can still continue to operate. This is not the case with a centralized system, where if the central server goes down, the entire system goes down with it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Overall, a data mesh architecture offers many advantages over a centralized system. If you are looking for a more scalable, flexible, and resilient way to manage your data, then a data mesh is the way to go.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What are the challenges of using a Data Mesh Architecture?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a few challenges that come with using a Data Mesh Architecture. One challenge is that it can be difficult to keep track of all the data that is flowing through the system. Another challenge is that it can be difficult to manage and monitor the data mesh.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data mesh is a new architecture that promises to solve many of the problems associated with data management. By creating a decentralized network of data sources, data mesh makes it possible to link data in ways that were previously not possible. This could potentially revolutionize the way we manage and use data, making it more accessible and useful than ever before.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"XPRloWb9Z\",\n  J5QGOt2qn: {\n    alt: \"Data Mesh Architecture Image\",\n    src: new URL(\"https://framerusercontent.com/images/a4uWUl3UJBmTofuR44Cgm7rMVSw.png\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"A Data Mesh Architecture: The New Way To Link Your Data\"\n}, {\n  AqSrYZkRk: \"machine-learning-and-no-code-are-web-3-companies-ready-for-the-wave-of-data\",\n  ChIDLP7g0: \"With the emergence of new technologies such as Machine learning and no-code, data entry and analysis will be much more convenient. In this article, we will discuss how these technologies will affect Web 3 companies and their operations in the future.\",\n  fdrdneEfZ: \"2022-05-06T00:00:00.000Z\",\n  fosXhL9qw: \"No Code AI still has a long way to go before it can be deployed on a large scale, but the potential is there.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Machine Learning And No-Code: Are Web 3 Companies Ready For The Wave Of Data?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With the emergence of new technologies such as Machine learning and no-code, data entry and analysis will be much more convenient. In this article, we will discuss how these technologies will affect Web 3 companies and their operations in the future.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Overview of Web 3 Companies\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The internet is constantly evolving, and with it, so too are the companies that power it. In the early days of the web, companies were focused on building websites and driving traffic to them. But as the web has become more sophisticated, so too have the companies that power it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Today, we're seeing a new wave of companies that are focused on data. These companies are using machine learning and artificial intelligence to make sense of the huge amount of data that's being generated by users all over the world. And they're doing it in a way that doesn't require any coding on the part of the user.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"This new wave of data-driven companies is often referred to as 'Web 3.0' companies. And while there are still plenty of traditional 'Web 2.0' companies out there, it's clear that the future belongs to those who are able to harness the power of data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"So what does this all mean for the future of the internet? It's hard to say for sure. But one thing is certain: the companies that are able to make sense of all this data will be in a very strong position to dominate their respective markets.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Why No-Code Matters\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"No-code is important because it allows anyone to build software without needing to know how to code. This means that people who may not have the skills or background in coding can still create powerful software applications.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"No-code platforms provide a low-cost way for startups and small businesses to create prototypes and MVPs quickly and cheaply. This can be a great way to get products and ideas out into the market quickly, without having to invest a lot of money in development.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"No-code also has the potential to democratize software development. By making it possible for anyone to build software, no-code could help level the playing field between big tech companies and small businesses.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Why Machine Learning\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Machine Learning is a method of artificial intelligence that allows computers to learn from data, without being explicitly programmed.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Machine Learning is becoming increasingly popular in the web development world, as it can be used to create more intelligent and user-friendly applications.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Several web companies are already using Machine Learning to improve their products and services. For example, Google uses Machine Learning to improve its search engine results and Facebook uses it to personalize the news feed for each user.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"No-code platforms like AI-Surge Cloud are making it easier for non-technical people to move their AI predictive projects from proof of concept to production maturity without having to write any code. The platforms use sophisticated AI algorithms that learn and use historical data to predict the future.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Data is becoming increasingly important in the world of web development. No-code platforms that allow users to easily create applications without any coding knowledge will be well-positioned to take advantage of data.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"The popularity of web 3 has created a shortage of skilled data experts due to the high demand for them from startups as well as established companies in every industry vertical.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"The Future of Web 3 TechnologyWith the emergence of new technologies such as Machine learning and no-code, data entry and analysis will be much more convenient. In this article, we will discuss how these technologies will affect Web 3 companies and their operations in the future.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The rise of no-code and low-code platforms has been a major disruptor in the tech world over the past few years. These platforms allow anyone, regardless of technical skills, to build sophisticated applications without writing a single line of code.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"This has had a major impact on web development, as it\u2019s now possible for anyone to create a data infrastructure or data application without any coding knowledge or confusion around the tools and technologies of Big data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"No-code and low-code platforms are becoming more and more sophisticated, and they\u2019re only going to continue to get better. At the same time, machine learning is becoming more and more prevalent, and it\u2019s starting to be used in all sorts of interesting ways.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"So it\u2019s not hard to imagine a future where machine learning is used to automatically build data infrastructure or data applications based on data, without any need for human intervention. This could be a major game-changer for data analytics.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Of course, there are some challenges that need to be addressed before this can happen. For example, there needs to be more work done on using AI to create more interactive and intuitive UX designs and sophisticated data algorithms. But these are challenges that can be overcome if AI continues progressing at the pace it is right now \u2013 so watch this space\u2026\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"xZftpVFbi\",\n  J5QGOt2qn: {\n    alt: \"Machine Learning And No Code Image\",\n    src: new URL(\"https://framerusercontent.com/images/Bc8kBsgOsL20VkZ1i2NmWb6NLLI.png\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"No Code\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Machine Learning And No-Code: Are Web 3 Companies Ready For The Wave Of Data?\"\n}, {\n  AqSrYZkRk: \"data-modernization-a-problem-for-data-engineers\",\n  ChIDLP7g0: \"Data engineering is a growing field that brings together the physical world with the digital one. The problem is that data engineers are in short supply, and there aren't enough of them to go around. This article explores the issue of data engineers, whether they're necessary, what's causing the shortage, and if there are some other solutions to this problem.\\n\\n\",\n  fdrdneEfZ: \"2022-05-02T00:00:00.000Z\",\n  fosXhL9qw: \"Data engineers are key players in corporate data modernization projects. Read how they can help corporations transition to modern data architectures.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Data Modernization: A Problem for Data Engineers?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data engineering is a growing field that brings together the physical world with the digital one. The problem is that data engineers are in short supply, and there aren't enough of them to go around. This article explores the issue of data engineers, whether they're necessary, what's causing the shortage, and if there are some other solutions to this problem.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What is data modernization?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data modernization is a process of modernizing data through technology and best practices. Data modernization aims to improve the accuracy, completeness, and timeliness of data. Data modernization can be accomplished in various ways, including adopting new technologies, applying best practices, and reorganizing data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The benefits of data modernization are numerous. More complete and accurate data enables organizations to improve customer relationships, optimize operations, and reduce waste. Improved accuracy leads to better decision-making and improved business performance. Delayed or inaccurate data can also lead to costly errors, such as incorrect pricing or billing information.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data modernization is a complex process that requires careful planning and execution. Data modernization can lead to decreased efficiency and increased costs if done incorrectly. To ensure that data modernization is successful, organizations are very much dependent on the data engineering team.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data engineering sometimes tends to limit, delay and block access to data. The process of data requests being stuck in IT land for weeks is widespread, which often brings about unauthorized circumventions to get the job done.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"The Data Modernization Challenge\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"As data grows in complexity and volume, organizations face the daunting task of modernizing their data infrastructure to make it more efficient and accessible. This challenge is especially critical for data engineers responsible for transforming raw data into valuable insights that help businesses achieve their objectives. But most data engineers are not domain experts in the business process they are trying to support.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"This is where analysts come in, who have the knowledge to translate business requirements into technical specifications for data engineers to build, test, and maintain. This has led to a situation where data engineers have little understanding of the business problem they are trying to solve. At the same time, analysts know what they need but don\u2019t understand how it works or how to use technologies to get the data processed. While this may sound like enough reason for someone without domain expertise to step up, we found another: these days, most businesses spend more of their software budget on engineering than analysis \u2014 and the vast majority of that budget is spent on cloud-based tools.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"We can see this clearly in survey results, which show that almost three-quarters (72%) of all software budgets are spent on data engineerings, such as ETL and BI. Meanwhile, less than a quarter (21%) of budgets go to data analysis \u2014 and most of those are tier-1 companies with more than 10,000 employees.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"For example, one company spoke aloud: \u201COur data engineering team spends 70% of its time developing new tools, then 50% maintaining the existing ones.\u201D In other words, many people have been fooled into thinking the only way to be data-driven is to spend money on data engineering. It\u2019s often better to invest in your analysts \u2014 who, as we all know, drive the value of data \u2014 and then literate your existing stakeholders. That way, you get much more bang for your buck!\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"A solution for improving data engineering team productivity\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data owners know what they want out of their data but don\u2019t know how to do it. On the other hand, data engineers have the know-how but don\u2019t know why it is needed. This creates a problem where data engineers are not getting the value they should be from the data. Data Engineering at scale is a challenging problem with many facets that need to be addressed. It starts with the data engineer and data architect who understand the business objectives, and then it goes to the system administrators who need easy-to-use tools. From there, it\u2019s up to the data scientist who develops models. Finally, the data analyst analyzes and visualizes them for business users to understand how various aspects can be improved. On top of that, there are plenty of other roles involved in this process, including quality assurance, testing, security, monitoring, analytics, etc.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A no-code data platform removes technical barriers, empowering non-technical users to manipulate data. Instead of a wall of computer and programming terms, companies can easily browse and interact with their data without requiring coding knowledge.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data modernization is an essential task for data engineers, as it aims to create a single source of truth for the data that lives within an organization. However, with the growing complexity of modern data systems and the ever-growing demand for data services, this goal has become increasingly difficult. No-Code offers a solution to help modernize data systems with a new, automated way of thinking and better practices that the data-driven organization can quickly adapt.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"Qy6RTH0I9\",\n  J5QGOt2qn: {\n    alt: \"Data Modernization Data Engineers Image\",\n    src: new URL(\"https://framerusercontent.com/images/9VR3RzH3qo5pVMUdEdXOiUg.png\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Data Modernization: A Problem for Data Engineers?\"\n}, {\n  AqSrYZkRk: \"data-modernization-a-problem-with-the-wrong-solution\",\n  ChIDLP7g0: \"Data management is a growing issue and one that is compounded every day. With the data being collected faster than ever before, manual methods of managing data are becoming less of an option. One way to combat this problem is through the use of modern AI tools which can automatically extract relevant information from large amounts of data.\\n\\n\",\n  fdrdneEfZ: \"2022-04-25T00:00:00.000Z\",\n  fosXhL9qw: \"Data architecture has become a crucial part of modernization strategy. Learn why and how to design a data architecture that will make your business thrive in the digital age.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Data management is a growing issue and one that is compounded every day. With the data being collected faster than ever before, manual methods of managing data are becoming less of an option. One way to combat this problem is through the use of modern AI tools which can automatically extract relevant information from large amounts of data.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Data Modernization: A problem with the wrong solution\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It seems that the answer to data modernization is more data modernization. This is not only an ineffective solution. It's also a costly and time-consuming one.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"How to make effective digital technology decisions in your organization?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"The journey for most organizations is the same: \\xa0we develop a problem, consult technology experts and implement their advice, and go back to the drawing board and start over. The problem with this approach is that we're not doing enough to analyze and understand our data, which means we cannot make informed decisions about how best to modernize it. We need to start by addressing the root cause of our data problems to find better solutions.\", /*#__PURE__*/_jsx(\"br\", {}), \"Building a Data Science Team To develop a new data science strategy, you'll need to create an empowered cross-functional team that includes data scientists, analysts, and business users. With this in mind, I'll discuss three areas of concern for any organization looking to modernize its data:\"]\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"DOING THE DATA SCIENCE WORK First and foremost, you have to get your hands dirty by working with your data. As the adage says: \\\"Work smarter, not harder.\\\" If you can't work with your data, you'll find that it's often the hardest to work with.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"SHARING THE DATA WITH OTHERS You need to share your data in an accessible and helpful way with multiple teams within your organization. Most data scientists spend their days working alone, but your strategy needs to allow for collaboration among people who may not have a shared interest or background.\\xa0\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"BUILDING THE STRENGTH OF YOUR TEAM Members of your data science team need to work together as a cohesive unit. This requires a commitment from each member of the team, especially within your team leader hierarchy. You can\u2019t just throw data scientists at the problem; you need one or two dedicated data science managers to make sure that all resources are being used effectively and efficiently.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What does data modernization mean?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The term 'data modernization' has been thrown around in recent years, but what does it mean? To some, it might mean replacing old, inefficient databases with newer, more updated models. But if that's all data modernization is - replacing one type of database with another - then the problem may be with the solution, not the problem itself.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A more accurate definition of data modernization would be to move away from a traditional model where data is stored in isolated silos and instead create a more interconnected system where information is accessible and usable across different systems. This would involve integrating other systems into a single platform to manage and monitor everything as a cohesive unit. Unfortunately, this is often seen as a considerable challenge that many organizations have yet to overcome. The good news is that AI-Surge Cloud makes it easy with its No-Code approach and 100s of configurable connectors.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A common misconception about data modernization is that it needs to be expensive and time-consuming. In reality, however, with AI-Surge Cloud, it can be pretty affordable and relatively short-term in nature. Only AI-Surge Cloud allows you to start using your data and its value in a day!\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The real challenge comes when trying to transition from traditional to modern databases; this can be very difficult and require a lot of effort and investment. We build AI-Surge Cloud with this in mind and make this transition super easy and effective.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Gartner Predictions for 2025\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Gartner has released a report predicting that data modernization will become a global problem in the next five years.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"According to Gartner, the problem with data modernization is that it is being done the wrong way. The traditional way of data management, based on centralized systems, is no longer sustainable. With the growth of cloud-based applications and services, data needs to be distributed across multiple platforms and systems.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Instead of trying to centralize data, businesses should adopt a decentralized model. This approach allows companies to manage data using various technologies and applications. It also helps to optimize data usage and enable faster decision-making.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Gartner predicts that the number of data-driven disruptions will increase in the next five years. This will create new business opportunities that can adapt quickly and move forward with the right data modernization strategy.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Conclusion\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In the first half of this article, we reviewed the concept of data modernization and some of the benefits it has to offer organizations. However, we also identified a problem with the way data modernization is currently being implemented \u2013 namely that it is often done in a piecemeal fashion without taking into account the overall architecture and structure of an organization\u2019s data. This results in data fragmentation and a lack of visibility across different tiers of an organization, which can ultimately lead to problems such as data silos and information bottlenecks.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Based on our analysis, it appears that the most effective way to modernize an organization\u2019s data is through a comprehensive approach that takes into account the entire structure and architecture of the data ecosystem. This is why we believe that data modernization should be part of an overall information management strategy \u2013 not treated as a standalone initiative. In addition, we recommend implementing data modernization in stages rather than all at once, in order to avoid disrupting business operations prematurely. Overall, our review highlights the importance of data modernization for organizations seeking to improve their efficiency and effectiveness.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"jQbSHTE4F\",\n  J5QGOt2qn: {\n    alt: \"Data Modernization Image\",\n    src: new URL(\"https://framerusercontent.com/images/DL7jjOhGBupnK3M9GoNaAsGfw.png\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Data Modernization: A Problem with the Wrong Solution\"\n}, {\n  AqSrYZkRk: \"1-why-small-and-middle-sized-businesses-should-move-to-ai-powered-no-code-platforms\",\n  ChIDLP7g0: \"Small and mid-size enterprise (SME) businesses are the backbone of a healthy economy, providing jobs and generating revenue for the larger companies that have come to rely on them. However, as technology becomes more advanced, smaller businesses can find themselves struggling to keep up. In this article, we'll explore what No-Code AI-powered platforms can do to help these small businesses improve their productivity and succeed in today's world.\",\n  fdrdneEfZ: \"2022-04-23T00:00:00.000Z\",\n  fosXhL9qw: \"Need a quick way to build and deploy modern, automated, AI-powered apps? Check out our article on the benefits of producing no-code AI.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Small and mid-size enterprise (SME) businesses are the backbone of a healthy economy, providing jobs and generating revenue for the larger companies that have come to rely on them. However, as technology becomes more advanced, smaller businesses can find themselves struggling to keep up. In this article, we'll explore what No-Code AI-powered platforms can do to help these small businesses improve their productivity and succeed in today's world.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What are No-Code platform technologies?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"No-Code platforms are a type of artificial intelligence-powered software development platform. They provide an easy way for businesses to create and manage their own custom software development tools without needing to learn to program. They can be used to create everything from small, simple apps to large, complex systems.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Why Small And Middle-Sized Businesses Should Move To AI-Powered No-Code Platforms\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a number of reasons why businesses should consider moving to No-Code platforms. First of all, they're incredibly easy to use. There's no need for users to know any programming languages in order to use them. This makes them great for beginners and for businesses that want to reduce the amount of time they spend on go to market.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Secondly, No-Code platforms offer a lot of flexibility. This means that businesses can customize them in order to meet their specific needs. For example, they can add features that make it easier for users to carry out tasks on the platform. This can mean streamlining processes, improving security measures and making it easier to share documents with clients.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Lastly, No-Code platforms are also helpful for customers. This is because they make it easier for users to complete their tasks on the platform. What's more, they provide a number of features that can help them do this even if they don't know much about coding. They can be used by individuals who are visually impaired or those with disabilities and are often set up to be adapted to meet the specific needs of these users.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Benefits of using AI in a small or midsize business\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Small and midsize businesses can reap a number of benefits from using AI-powered No-Code platforms, including:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Increased efficiency and productivity.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Reduced time spent on routine tasks.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Greater flexibility and agility.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Enhanced customer service and interactions.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Reduced costs associated with data collection and analysis.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What you should consider before making the switch to an AI-powered platform\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When it comes to technology, there\u2019s no denying that big businesses are the ones that tend to stay ahead of the curve. But what about smaller and middle-sized businesses? Are they left behind by their larger counterparts when it comes to technological innovation? Not necessarily. In fact, there are a number of AI-powered platform options out there that can help these businesses stay competitive and keep up with the latest trends. So if you\u2019re thinking about making the switch to an AI-powered platform, here are a few things you should consider first:\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"-How well is the platform designed?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"One of the most important factors to consider when choosing an AI-powered platform is how well it\u2019s designed. If the platform isn\u2019t well-designed, it won\u2019t be able to handle all the demands that your business will put on it. Plus, you'll likely end up spending more time and money trying to fix issues than you would have if you had chosen a better platform in the first place. So make sure to choose a platform that's been thoroughly tested and is ready for takeoff.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"-Is the platform customizable?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another key factor to consider when choosing an AI-powered platform is whether or not it allows you to customize the platform as your business grows. This will allow you to create a custom solution that's not just more powerful than what\u2019s available today, but also more useful for your specific needs. So make sure to compare platforms on how customizable they are before making a decision.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data management is a growing issue and one that is compounded every day. With the data being collected faster than ever before, manual methods of managing data are becoming less of an option. One way to combat this problem is through the use of modern AI tools which can automatically extract relevant information from large amounts of data.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"-How quickly does the platform respond?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A crucial aspect of choosing an AI-powered platform is whether or not the system can adapt to new needs as soon as they arise. And as such, it's important to consider how fast the platform responds when you make changes to different aspects of the system. This will help ensure that you won't have to scramble for solutions any longer than you need to.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"-Is it secure?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"All AI-powered platforms are designed with security in mind, but there are some that are more secure than others - which is why it\u2019s crucial to compare platforms on the level of security they provide until your network is secure enough for AI. Some platforms provide a quick and easy solution to this problem, while others may require more time to achieve the same result.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Benefits of moving to an AI platform\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Small and middle-sized businesses have a lot to gain from moving to AI-powered platforms. Here are just a few of the benefits:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"AI can help your business automate processes and tasks.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"AI can help you get insights into your customer data in order to better serve them.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"AI can help you identify and resolve issues faster, increasing productivity and reducing costs.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"AI can help you build a more customer-centric culture, which will ultimately lead to increased sales and profitability.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"How the software for a No-Code platform works\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A No-Code platform is software that helps businesses to automate their processes without needing to learn to code. This can be a big advantage for businesses that don't have the time or expertise to learn to code.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A No-Code platform takes care of all the repetitive tasks that businesses need to do, like creating and managing schedules, tracking inventory, and sending invoices. This means that businesses can focus on their more important tasks, like developing new products and services.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are a number of No-Code platforms available on the market today. Some of the most popular ones include Zapier and IFTTT. These platforms allow users to connect different apps and websites together, which makes it easy to automate your processes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If you're looking for a No-Code platform that will fit your specific needs, then you should definitely consider using one of these platforms. They're easy to use and they'll help you streamline your workflow.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Moving your Data Analytics over to an AI-Surge Cloud\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many reasons why small and middle-sized businesses should consider moving their data analytics over to AI-powered no-code platforms. First, these platforms can easily handle large amounts of data. Second, they provide real-time insights that help businesses make better decisions. Finally, they are affordable and easy to use, making them a good option for small businesses with limited resources.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"No-code platforms like AI Surge Cloud make it easy to move your data analytics to the cloud. This means that you can access your data from anywhere in the world. Plus, no-code platforms automatically update their algorithms as new data is available. This means that your data will always be up to date and provides you with the latest insights.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Finally, no-code platforms are affordable and easy to use. They are also easy to integrate into your business\u2019s existing infrastructure. This means that you won\u2019t have to spend a lot of time learning how to use them. In short, moving your data analytics over to AI-Surge Cloud is a good decision for small and middle-sized businesses.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Conclusion\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Small and middle-sized businesses should consider using AI-Surge Cloud No-Code platforms to streamline their workflows for the fastest decision-making. We enable businesses to automate processes and eliminate the need for human input, resulting in a more streamlined workflow and improved efficiency. In addition, we can help businesses to focus on their core operations while delegating less important tasks to automated systems. As a result, small and middle-sized businesses can reduce costs and increase profits.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"Adk3Bjc0Y\",\n  J5QGOt2qn: {\n    alt: \"AI Powered No Code Image\",\n    src: new URL(\"https://framerusercontent.com/images/dIqGH2jp1q8tUT0QW3DWFcfFMXA.png\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"No Code\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"#1 Why Small And Middle-Sized Businesses Should Move To AI-Powered No-Code Platforms\"\n}, {\n  AqSrYZkRk: \"machine-learning-no-code-approach\",\n  ChIDLP7g0: \"This article will discuss using machine learning for reasoning over data, which differs from traditional programming. Mastering machine learning is challenging and requires a hefty time investment. And, even if you do master machine learning, creating data models from scratch can take months, and that's on top of everything else you need to do. - let's simplify things by providing a \\\"no-code\\\" approach! Using No-Code AI and ML, businesses eliminate a lot of time, steps, and energy.\\n\\n\",\n  fdrdneEfZ: \"2022-04-22T00:00:00.000Z\",\n  fosXhL9qw: \"Leverage the power of machine learning and artificial intelligence with our no-code approach to bring intelligence to your enterprise.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"This article will discuss using machine learning for reasoning over data, which differs from traditional programming. Mastering machine learning is challenging and requires a hefty time investment. And, even if you do master machine learning, creating data models from scratch can take months, and that's on top of everything else you need to do. - let's simplify things by providing a \\\"no-code\\\" approach! Using No-Code AI and ML, businesses eliminate a lot of time, steps, and energy.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What is machine learning?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Machine learning, or more precisely artificial intelligence (AI), is a process that allows computers to learn from data without being explicitly programmed. This can be done through a number of methods, such as feeding a computer sets of example data (known as training data) and then expecting the computer to use what it has learned to make predictions about new data.\", /*#__PURE__*/_jsx(\"br\", {}), \"There are a number of benefits to using machine learning, including that it can be used to automate tasks and carry out complex calculations quickly and easily. However, before you can start using machine learning in your own projects, you first need to understand what it is and how it works.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What is no-code software?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"No-code software is a type of software development approach that does not use any coding. In this type of development, developers use tools and processes to create the software. No-code software is common in web development and mobile application development.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"The benefits of no-code software development include faster time to market, fewer defects, and reduced costs. The no-code approach also allows for more flexibility in how the software is designed and delivered. It can be used for both small and large projects.\"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"No-code software is growing in popularity because it allows developers to create complex applications without having to learn code. This makes it easy for newcomers to the tech industry to get started.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Why should companies use the No-Code Machine Learning approach?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many reasons why companies should use the No-Code approach to machine learning. The first reason is that the approach is easy to understand. Anyone with a basic understanding of machine learning can use No-Code Software's approach. This means that companies can quickly get started using the approach without needing any specialized knowledge or technical skills.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Another benefit of using the No-Code approach is that it is fast. Machine learning can be time-consuming, so using an approach that is fast is important. With No-Code Software's approach, businesses can quickly deploy machine learning models without having to wait long periods of time for them to complete.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"AI-Surge Cloud is a machine learning platform created to address the desire for non-technical users to make sense of their big data. Our innovative platform uses human-guided, no-code prediction models that are trained using past data and can be used in any industry environment, enabling citizen data scientists to make predictions with unprecedented accuracy.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Last but not least, using the No-Code approach helps companies avoid mistakes. By implementing an automated machine learning process, businesses can avoid making mistakes when training their models. This means that businesses can avoid having to spend time debugging their models after they have been deployed.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"How to leverage the technology of machine learning and how to grow your business with data science.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In our day-to-day lives, we rely on machine learning to make decisions for us. For example, when you're shopping for a new car, your phone might suggest you consider buying one with better fuel economy. Or if you're considering whether or not to take a trip, your computer might recommend the best time to do so based on past travel patterns. In both cases, the machine learning algorithm is using data (in the form of past purchases and past travel information) to make a decision for you.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: 'But what if you don\\'t have any data? This is where machine learning comes in handy. You can use machine learning algorithms without any data at all! In fact, this is often called \"no-code\" or \"data-less\" machine learning. This approach works by training the algorithm on a set of data that\\'s similar to the data you want to use in your problem. So, for example, if you wanted to train an algorithm to make predictions about what people will buy, you could use data from retail sales as your training data. After training the algorithm on this data, you would be able to use it to make predictions about future retail sales.'\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Conclusion\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In this article, we have looked at the importance of machine learning and how to do it without coding. We have also explored an AI-Surge Cloud no-code approach that can be used to get started with machine learning. Whether you are a beginner or an expert, AI-Surge Cloud will help you get started with the powerful AI engine.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"Hf6MFRzFQ\",\n  J5QGOt2qn: {\n    alt: \"No Code Approach Image\",\n    src: new URL(\"https://framerusercontent.com/images/xqrV715TXPOI0nAz6tiRI28.png\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"No Code\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Machine Learning, No-Code Approach\"\n}, {\n  AqSrYZkRk: \"distributed-system-scalability-types-knowing-the-differences-can-mean-millions\",\n  ChIDLP7g0: \"Nowadays, more and more companies are embracing the idea of scalability, some even choose to deploy a system that scales automatically. However, there are three major types of scalability, and this article will briefly explain each one.\",\n  fdrdneEfZ: \"2022-04-16T00:00:00.000Z\",\n  fosXhL9qw: \"AI-Surge Cloud is a decentralized, distributed system architecture.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"Nowadays, more and more companies are embracing the idea of scalability. Some even choose to deploy a system that scales automatically. However, there are three major types of scalability, and this article will briefly explain each one.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What is a distributed system?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"A \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"p5tNNhWLV\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"distributed system\"\n        })\n      }), \" is where parts of the system are spread out over a network. This can be done for performance or resilience reasons. There are different types of distributed systems, which we will cover in this article. Parts of a distributed system can be spread out over multiple computers, multiple devices, or even multiple locations. One common example of a distributed system in the world wide web, which is spread out over millions of computers around the world. Another example is a set of databases that are replicated across multiple servers for fault tolerance.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many benefits to using a distributed system. For example, distributing computational tasks across multiple computers can lead to better performance. When done correctly, distributing data across multiple devices can make the system more resilient to failures.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are also some challenges that come with using a distributed system. One challenge is that distributing data and computation can add complexity. Another challenge is that distributing data and computation can introduce new sources of errors.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Despite these challenges, distributed systems are widely used because the benefits often outweigh the challenges. In many cases, using a distributed system can mean the difference between a successful project and a failed one.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Examples of Distributed Systems\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are several types of distributed systems, each with its own set of characteristics. Here are some examples:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Client-server systems: A central server manages and coordinates the work of a number of client computers. The clients request services from the server, which then provides them. This is the most common type of distributed system.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Peer-to-peer systems: There is no central server; instead, each computer in the system act as both a client and a server. This type of system is often used for file sharing and other applications where it is not necessary to have a central authority.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Grid systems: A grid system is a type of distributed system that uses a network of computers to share resources, such as storage or processing power. Grid systems are often used for scientific or business applications where large amounts of data need to be processed.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Cloud computing: Cloud computing is a type of distributed system that uses a network of computers to provide services, such as storage or applications, to users over the Internet.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Type of scalability we have in distributed systems\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Type of scalability we have in distributed systems. A distributed system uses more than one computer to operate. These systems can scale in three main ways: size, geographical, and administrative scale. Size scalability refers to the number of nodes in the system, geographical scalability refers to the number of different locations where the nodes are located, and administrative scalability refers to the number of different organizations that manage the nodes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In distributed systems, there are 3 main types of scalability: size, geographical, and administrative.\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Size refers to the number of nodes in a system or network.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Geographical scalability refers to the number of different locations where the nodes are located (and where they have redundancy, failover, etc.).\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Administrative scalability refers to scaling the system by adding more management policies or personnel.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"So geographic and administrative scalability refers specifically to scaling out a sub-system, and size or computational scalability refers to scaling up a single computer (or node).\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Size and computational scalability are independent of each other. In other words: if a problem can be solved using a 1000 node cluster, it will also work on one computer. However, with some problems, it is easier to scale out than to scale up, because that allows us to use commodity hardware. Problems that can be easily scaled out include distributed storage systems (such as HDFS), whereas problems that can be easily scaled up include numeric or scientific computing applications.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In some cases, we are interested in a given cluster reaching a certain level of size or computational power and then staying there, without any further increase. This is the case for example with a private cloud platform (such as Google App Engine), where we want to make sure that the capacity of the underlying hardware is sufficient and does not need to be upgraded periodically. In other cases, we want to make sure that the cluster size stays within certain bounds. For example, with Hadoop\u2019s Capacity Scheduler, we can specify a minimum and a maximum number of machines for a given job to be accepted.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In general, scalability measures can be classified into two broad categories: capacity/scale-up measures (which are applicable to clusters with a fixed topology) and density/scale-out measures (which are applicable to clusters where new nodes can be added).\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"The CAP theorem\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The CAP theorem is one of the most important concepts in distributed systems. 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This article discusses how AI is already being used to diagnose cancer and detect diseases, but also covers how it can be used to make strategic decisions by taking into account all possible future outcomes.\",\n  fdrdneEfZ: \"2022-04-04T00:00:00.000Z\",\n  fosXhL9qw: \"ModelOps is a hands-on, practical guide to implementing AI-powered practices in your organization.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Introduction\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Did you know that AI will soon be handling some of the most important decisions we make in life? This article discusses how AI is already being used to diagnose cancer and detect diseases, but also covers how it can be used to make strategic decisions by taking into account all possible future outcomes.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Backstory: What is ModelOps?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"ModelOps is a term that refers to practices that integrate AI and machine learning in operational practices. It is defined as the 'application of cognitive technologies to manage and optimize processes, workflows, and decision-making.'\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Modelops helps organizations adapt to new business models by leveraging collective intelligence based on real-time data.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Operation Types and Actors\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The operation type is the type of AI application you want to use.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"For example, if you want to build a model that can detect fraud, your operation type would be fraud detection. The actor is the person or company who will use the model.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"For example, if you are an analyst for a bank and you need to track \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"customer accounts for risk management\"\n      }), \" purposes, your actor would be the bank itself.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Governance and Life Cycle Management Concepts\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Organizations face many challenges when implementing AI practices. One concern is that centralized governance and life cycle management is necessary to avoid a 'skittish' culture. To ensure this, organizations should have an advisory board that has a diverse set of experts, including legal counsel, technical specialists, privacy specialists, and industry leaders.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"NO-Code Predictive Analysis Unleash state-of-the-art predictive modeling into the palm of your hand \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Free trial\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"The Role of Models in ModelOps\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Models in ModelOps provide insight into what's going on in a system. They help identify different types of risks and recommend mitigation strategies. Models can also be used to identify the most profitable portfolio among investment options.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"The Importance of a Data Lake and Model Repository\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The ModelOps process also ensures that AI technologies are properly designed and implemented, and result in improved business outcomes. A critical component for AI is the creation of a data lake. Data lakes should be constructed to hold all necessary data, regardless of its format or source. This will then serve as the foundation for model development and training. The Model Repository should contain all the models that have been developed, including their features and parameters, enabling them to be easily located and used when needed. Without these two components, AI technology is not effectively leveraged in an organization's operations.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"Key Challenges and Lessons Learned\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"AI is not a new concept, but it has not yet been successfully implemented in the workplace. There are many reasons for this. One of the most important reasons is that there are many unsolved challenges with AI implementations in an organization's culture or enterprise system. For example, trust between colleagues can suffer if they agree to use data to make decisions without giving a say to all those who created the data. Another issue that causes problems with AI implementations is the fact that when it comes to prediction and forecasting, each company has different needs and preferences, so one-size-fits-all algorithms cannot be applied. 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Artificial intelligence has made it possible to design complex algorithms that parse through this data and find the most important pieces of information for a particular business. \",\n  fdrdneEfZ: \"2021-12-05T00:00:00.000Z\",\n  fosXhL9qw: \"Data Lakehouse Solutions are designed to be used by telecommunication companies looking to maximize their operations and profits.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"How Telecommunication companies can use Data Lakehouse Solutions to maximize operations and profits\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"In today\u2019s world, a great deal of information is available to businesses, and companies can use that information to become more efficient. Artificial intelligence has made it possible to design complex algorithms that parse through this data and find the most important pieces of information for a particular business. Algorithms identify what workflows are most efficient and which processes need improvement. Tech companies have created databases that store the largest amounts of data ever accumulated by mankind. This allows users to analyze these massive stores of data.\\xa0Many people may not realize how much they contribute to this data reservoir every day. People use their phones to make calls, send texts, or perform other functions that are tracked by telecommunications companies.Telecommunication companies face many challenges and are looking for new ways to reduce costs and increase revenues. The current telecommunications industry is facing tough competition from wireless carriers, VoIP providers, and cable and digital phone service providers who are aggressively deploying new technologies. Telecommunication companies are also adopting an \u201Call-service\u201D mentality that focuses on developing a diverse portfolio of services that appeal to customers. This \u201Call-in-one\u201D philosophy is not always cost effective and causes companies significant operational, management, and marketing challenges.Companies must find a way to leverage all the communications capabilities of a business. This includes using legacy systems while reducing capital expenses, operating across multiple carriers, managing VoIP and data at the enterprise level, and optimizing communications processes.In finding answers to meeting their business needs, telcos must embark on a Big Data transformational initiative. Telcos can no longer rely solely on traditional databases, data warehousing and outworn enterprise analytics. They have come to the realization that these tools could be upgraded to perform real-time out of the box analytics and handle the massive amount of data with less human intervention eventually leading to cost reduction.Using \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/data-lakehousing\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data Lakehouse\"\n        })\n      }), \" applications to improve customer satisfaction and eliminate cost over-runs and out-of-hours operations. Telcos are taking advantage of the AI-Driven predefined dashboards provided by AI Surge.A single AI solution provides a dashboard that details instantly nearly every pain point your Telco may have. AI-powered cloud dashboard that gives a detailed report about the performance of any TELCO network in real-time.Data Lakehouse offers a set of tools that enable communication companies to manage a wide range of customers and services using data-rich tools that leverage traditional business logic to extract the critical data that enables decisions based on customer interactions.Some of the many features that telecommunication companies derive from Data Lakehouse are predictive analysis, direct access and connection to your data in warehouses or on the cloud, event-driven workflows, and telecom market trends analysis.Data Lakehouse offers a set of tools that enable communication companies to manage a wide range of customers and services using data-rich tools that leverage traditional business logic to extract the critical data that enables decisions based on customer interactions.Data Lakehouse\u2019s suite of \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/ai-machine-learning\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"artificial intelligence and machine learning\"\n        })\n      }), \" tools are designed to make existing processes more efficient. The core of the technology is the analysis of the complex relationships in structured and unstructured data from various sources. Data in communications accounts for billions of lines of business records, which can be leveraged by companies to build tailored solutions to improve their customer service, marketing, product development, sales management, and customer retention strategies.Telecom companies that use AI Surge\u2019s Data Lakehouse tools can evaluate and optimize communications based on hundreds of different use cases from customer contact management to automotive customer support. These applications provide real-time insights into how users interact with a business. Telecommunication companies can analyze data to better understand which messages are most important, which are pushed most frequently, and which leads generate the most sales opportunities. The beauty of Automated Data Lakehouse extended capabilities is that algorithms, AI and advanced technology are applied to your datasets to produce accurate and useful reports to maximize your operations and profits. I cannot overemphasize the importance of ready to use dashboards to facilitate quick decision making.You get to see what your network is doing from a birds-eye view. Dashboards report telco KPIs such as Nb Op, Avg Call setup Time, Avg Call duration, Op cancellation Rate and more.The TELCO Dashboard allows you to easily monitor your activities (sales, churn, ARPU) and compare with your competitors via dashboards or KPI\u2019s.Telecommunication companies rely heavily on analytics to help them build new strategies, improve productivity, reduce costs, and reduce waste. A great majority of businesses in any industry make regular use of analytical tools to help them develop their tactics for success. Analytics, when properly executed in the right situation, can provide a competitive advantage over rivals and give any company the edge they need to remain ahead of competition. \"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Telecommunication companies that use Data Lakehouse to create and maintain their own business intelligence can reduce their need for additional staff members and free up valuable internal resources to focus on other areas.Telecommunication companies that are looking to optimize communications and increase revenues can take advantage of the analytical solutions provided by AI Surge\u2019s Data Lakehouse Solutions. A platform that allows telecom companies to autotmate routine analytics tasks. Allow for seamless migrating data between different environments and immediately generate dynamic and intuitive dashboards and operational systems that are able to meet the needs of their customers and provide top-notch support. AI Surge\u2019s Data Lakehouse comprehensive suite of solutions for managing communications, identifying bottlenecks in system performance, and improving productivity are all ideal for increasing a telcos revenue and reducing costs.Telecommunication companies need to maximize their revenue streams by investing in improved technology and tools for managing their networks. Companies often purchase multiple solutions from different vendors, implement some, and then find that they still have room for improvement. Telecommunication companies should consider purchasing a one size fits all unified data analytics platform from AI Surge that provides automated Data lineage, Data Profiling, Artificial Intelligence on the spot, Data Governance, Predefined dashboards and real-time streaming analytics. By using a platform that automates data analytics and data management, Telecommunication companies can save significant money on staff hours while freeing up other staff to handle business. Investing in an artificial intelligence platform will allow these companies to continue to grow without having to fully commit to custom software development, which can often lead to costly delays and mistakes.Before now creating a data lake house was an intimidating idea. With AI Surge\u2019s Data Lakehouse solution it takes telecommunication companies minutes to create a data pipeline and start providing insights that enable them to accelerate sales growth. AI technology is embedded in the platform, creating an ecosystem with partners and allowing telcos to perform AI-assisted real-time analytics based on streaming and historical data from Point of Presence (PoP) data centres. This approach provides clarity into network performance, service quality, and fault analysis in order to optimize user experience, improve service levels, and increase operational efficiency. In this way, AI Surge\u2019s Data Lakehouse solution provides a better business case for telecommunication companies looking to make sense of their data, provide better value to their customers, and be profitable as well.You now can rely on having an automated dashboard that details the whole picture: number of calls, average setup time, dropped calls and immediate threats. All this available with the platform that is able to integrate with your existing enterprise and IT infrastructure. In addition you\u2019ll be able to realize business improvements: reduce time to market in operations, reduce cost through better material usage and optimize processes with real-time information.See our live AI-powered telecommunication dashboard here. Click on the button to play around with our visually appealing dashboard.\\xa0\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,LATqrToS92Kfnsq48zDJniwq2I.jpg\",\n      \"data-framer-height\": \"812\",\n      \"data-framer-width\": \"1536\",\n      height: \"406\",\n      src: new URL(\"https://framerusercontent.com/images/LATqrToS92Kfnsq48zDJniwq2I.jpg\").href,\n      style: {\n        aspectRatio: \"1536 / 812\"\n      },\n      width: \"768\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"PBSLdKeIW\",\n  J5QGOt2qn: {\n    alt: \"TelcoNew Image\",\n    src: new URL(\"https://framerusercontent.com/images/CLVRzmxLls6danSNRVQTdZLvg.jpg\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Data Lakehouse\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"How Telecommunication companies can use Data Lakehouse Solutions to maximize operations and profits\"\n}, {\n  AqSrYZkRk: \"data-really-powers-everything-that-we-do\",\n  ChIDLP7g0: \"It\u2019s no secret that data is a valuable asset for organizations. Businesses today are collecting more data than ever before, thanks to advancements in technologies like cloud computing, social media, and mobile devices. The growth of big data creates an opportunity not just to collect it, but also to use it to drive organizational decision-making by developing three core capabilities: data proficiency, analytics agility, and community.\",\n  fdrdneEfZ: \"2021-02-08T00:00:00.000Z\",\n  fosXhL9qw: \"AI-Surge Cloud is the only AI platform that gives developers access to a one-stop data analysis and enterprise machine learning solution.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Data Really Powers Everything That We Do\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"LinkedIn's CEO, Jeff Weiner, once said that \u201CData really powers everything that we do.\u201D\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"We couldn't create Facebook without data, Google wouldn't exist, and government surveillance would be a lot more invasive.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Whether we\u2019re creating visualizations for marketing, making automated suggestions for content, analyzing user behavior, or predicting trends in email engagement\u2014data is at the heart of all of it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It\u2019s no secret that data is a valuable asset for organizations. Businesses today are collecting more data than ever before, thanks to advancements in technologies like cloud computing, social media, and mobile devices. The growth of big data creates an opportunity not just to collect it, but also to use it to drive organizational decision-making by developing three core capabilities: data proficiency, analytics agility, and community.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data proficiency means understanding the quality, cleanliness, and quantity of your data. As an organization moves toward becoming data-driven, they need to know what questions to ask to move forward. Analytics agility means forming a strategy with data and analytics in mind. Experimentation and prototype-based testing are key as you seek to identify opportunities. Community means encouraging the open and free flow of information and collaboration -- both within your enterprise and with partners and customers.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is power. And it gets better and better when you can make smarter decisions. In the past, we saw that data was used to make a decision based on what\u2019s being calculated and thinking if it\u2019s worth a try. Today data is transforming almost every industry such as e-commerce, farming, transportation, etc. We have more data than ever before but what we do with it has evolved.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Every major decision that\u2019s made in our company, marketing strategies, product updates, etc. \u2014 they\u2019re all based on data. We could make gut decisions and those could work out. But why would you want to make a gut decision when you can leverage data?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data really powers everything that we do. How you choose to react to this data will ultimately impact your work as well as your career. Whether you are a digital marketer planning a viral campaign, or a financial advisor preparing for quarterly margin analysis, or an entrepreneur setting out to grow his venture, the data you gather and use has the potential to positively or negatively shape your work and future. In fact, if you've decided on entering a field that heavily relies on data for guidance, then harnessing data effectively through analytics is one of the key aspects of your job.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Analytics-driven firms know that data is useless unless they can take action on it. They\u2019re able to quickly identify and exploit insights from data using \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"yxCwKyLQ1\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"machine learning and artificial intelligence\"\n        })\n      }), \", which in turn gives them the ability to continually adapt and evolve business strategies. Community advances shared knowledge by connecting teams across departments and tweaking existing processes to optimize performance. Analytics agility is the ability of companies to build and deploy lightning-fast models that predict what will happen in fast-changing markets, so they can make critical business decisions.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data-driven decision-making sounds like an intimidating phrase, but it\u2019s really not. It makes sense to base decision-making on data. When we have no data, gut decisions are the best we can do, but when we have information to work with, why not utilize it?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data-driven decision-making \u2013 the ability to make smart decisions and act on that data in real-time with confidence \u2013 is the key to running a successful business in today\u2019s fast-paced world. If you want your business to grow, you need to better your decision-making capabilities. These days, creativity and innovation are highly sought after, but without data to back it up, the results will be tenuous at best.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In today\u2019s fast-paced business environment, where speed and agility are critical to success, it is imperative that you and your company make faster decisions. Data-driven decision-making increases your agility by reducing uncertainty and speeding up time to action.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In the constant cycle of business, it can be hard to know whether an idea will be a winner or not. Data-driven decision-making is essential in any company\u2019s success. You need to have the right data to back up what you are doing.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The business has never been more data-driven than it is now. With so many ways to collect, analyze and interpret data, leaders across all industries are making smarter decisions that will help fuel their company's growth.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"To compete and win in today\u2019s highly competitive market, companies are collecting an unprecedented amount of data. Thanks to modern business intelligence, organizations are inching closer and closer to understanding the value of data-driven decision-making across all departments and roles.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Business intelligence has moved beyond the typical realm of IT departments. These days, business intelligence is an essential tool for connecting the dots and making data-driven decisions across the entire organization, from senior executives to supply chain managers. It\u2019s no longer just a departmental task; it has become a companywide endeavor that virtually every department must be a part of.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Business intelligence is more than just a fancy term for data-driven decision-making. For many firms, it's a core business function that provides insight into critical metrics, departments, and processes.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(Link, {\n        href: \"https://www.investopedia.com/terms/b/business-intelligence-bi.asp\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Business intelligence\"\n        })\n      }), \" is more than just analyzing numbers and delivering data, it requires the ability to present those insights with a human touch -- typically using dashboards, reports, and analytic dashboards. It\u2019s even MORE than that -- business intelligence requires the ability to take those lessons learned from data and create a culture of organizational change that propels companies forward in terms of performance optimization and revenue growth.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data powers new business models and has ushered in an era of cheap and easy access to tools that can format, manipulate, analyze, and model almost any kind of data set conceivable.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is the foundation of all results. It helps us make decisions. It improves the quality of our work and our lives. Before we can start to use any data, we need to make sure it\u2019s ready for use. AI Surge's Data Engineering capabilities prepare your data for you with just a few clicks.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is good. Data that moves faster is even better. And data visualizations don\u2019t just generate pretty pictures and drive more engagement\u2014they can help us make better decisions based on user behavior, trends, and appetites. They give context to meaning, connecting dots between what we know and what we want to know. AI Remedies Data Visualization and beautiful dashboards generate custom reports to suit your business needs.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big data. Data science. Data-driven decision-making. Call it what you like, but the fact is data really powers everything that we do in an organization. It powers how we make decisions and how we execute those decisions as a business and even as consumers. And to have access to more data can mean big opportunities for your business and your career.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"mjpZ3Qr6p\",\n  J5QGOt2qn: {\n    alt: \"Data Decision Image\",\n    src: new URL(\"https://framerusercontent.com/images/ijru6qn7vEUSFjhDRnGoKzVKQ.jpg\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Data Really Powers Everything That We Do\"\n}, {\n  AqSrYZkRk: \"data-visualization-on-steroids\",\n  ChIDLP7g0: \"Data visualization is widely used in Business Intelligence, CRM, and Marketing. It is a key mechanism for communicating information in a way that the user can understand. If you\u2019re not using data visualization techniques on your website, then you are losing clients to your competitors that are.\\n\\n\",\n  fdrdneEfZ: \"2021-02-08T00:00:00.000Z\",\n  fosXhL9qw: \"AI-Surge Cloud is a data visualization tool that allows you to explore, analyze and visualize your data like never before.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Data Visualization On Steroids\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"I love data visualization. There are few things more exciting than trying to create something beautiful that shows off data clearly.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data visualization is widely used in Business Intelligence, CRM, and Marketing. It is a key mechanism for communicating information in a way that the user can understand. If you\u2019re not using data visualization techniques on your website, then you are losing clients to your competitors that are.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"SIMPLIFY AND DESCRIBE DATA INTERPRETATION\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data visualization can help describe and simplify data interpretation. It presents information in a visual way that is more appealing for people to study and make business decisions. Data visualization is not just a trend; it\u2019s really an effective and powerful way to communicate data to the public and to other specialists.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"For form to follow function, you need to think about who will use it and how they will use it. If the data helps everyone, then make it available for everyone. If it only helps a specific group or is used by a specific group, then make sure it\u2019s presented in a way that those members can easily get the information and use it effectively.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Logical structure. This is the most difficult one! How will you introduce the data? What facts do you want to make sure the reader knows before diving into the rest of your story?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The era of the cog in a wheel is over. We are living in a time where employees are empowered to make decisions and no longer just execute orders. Data must be presented on the terms that your audience needs it. It must guide them toward the actions you want them to take.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is like a river; it always flows downstream to the place where it can make the greatest impact. Identify that place, and build your interface around it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"\\\"If you were selling me this information, how would you persuade me that it was worth my time and attention?\\\" This is the question you should be asking as you design a dashboard. You need to understand that when information is presented to someone, they are in control of their attention. If they don't want to pay attention to a part of the dashboard, nothing will force them to do so. Design your data visualization with this in mind. We call this focus, and it's one of the reasons why small multiples work so well. The viewer can get their bearings fast because they aren't lost among too many details at one time.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"CLEAR, CONCISE AND APPEALINAG\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(Link, {\n        href: {\n          pathVariables: {\n            AqSrYZkRk: \"big-data-analytics\"\n          },\n          webPageId: \"QwoQJwn74\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data visualization\"\n        })\n      }), \" is a vital part of analyzing, representing, and presenting data with the purpose of accomplishing a goal or task. It helps us view and understand the data more easily. We can see a broad data set as a whole, get a better picture of it, and then zero in on the specific details.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Good visualizations are clear, concise, and appealing. They communicate the essential details of data in an easy-to-follow manner that an audience can quickly grasp and use to draw actionable conclusions. While vague or unclear information might leave some people wondering what is actually being said, or perhaps cause them to tune out entirely, a well-designed visualization will have the opposite effect. Instead of getting bogged down in boring statistics and unnecessary facts, viewers will be drawn to the visuals and find them much easier to absorb. Good visualizations also allow audiences to see patterns they might otherwise miss.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"TELL THE WHOLE STORY\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Telling your story with data is as much about the visualization as it is the data. Visualizing data sets can be difficult. They often involve large datasets and contain relationships between many variables in more than the two dimensions that most people are accustomed to thinking about.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It is crucial to not only tell your company\u2019s story with data but also to explore the story of your data. Visualizations are a great way to do this; they prepare you for understanding and discussion by providing a framework for how your data is represented. Visualizing your data can help people understand it better.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When working with large data sets, the data itself is only part of the story. We get a lot of questions from people about how to tell their data\u2019s story - some much larger than others. Visualizing and presenting data is so important it\u2019s almost a necessary skill before you can analyze your data in any meaningful way, so they\u2019re worth investing in. The right visualization can provide that \u2018Aha!\u2019 moment or crucial insight you're looking for.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"\u201CThere are two goals when presenting data: convey your story and establish credibility.\u201D \u2014 Edward Tufte\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"IbPBiShYT\",\n  J5QGOt2qn: {\n    alt: \"Digital Technology Network Image\",\n    src: new URL(\"https://framerusercontent.com/images/pL84X2LTX2GrJOUyTFznN5Cvig.jpg\").href\n  },\n  jThsuyri8: \"Edison\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/TzHlRx6qhfnuTJ1BgW7ad8b18.svg\").href\n  },\n  U48Uzs3uQ: \"Data Analytics\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Data Visualization On Steroids\"\n}, {\n  AqSrYZkRk: \"does-your-company-know-what-to-do-with-all-its-data\",\n  ChIDLP7g0: \"We\u2019re inundated with new opportunities, more requirements, and more information than ever before. It can be overwhelming to try to keep up with the latest research, the newest software, and the hottest new thing.\",\n  fdrdneEfZ: \"2021-01-31T00:00:00.000Z\",\n  fosXhL9qw: \"The world is generating more than 2.5 quintillion bytes of data every day and enterprises are struggling to keep up.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Does Your Company Know What to Do with All Its Data?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"We\u2019re inundated with new opportunities, more requirements, and more information than ever before. It can be overwhelming to try to keep up with the latest research, the newest software, and the hottest new thing.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The growth of technology over the past few decades has brought companies new strategies to grow their business. Advancements in digital and internet technologies are driving companies toward new platforms for growth. Data is at the core of strategy in today\u2019s data-driven world, but how many businesses know enough about what to do with all of it?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is everywhere these days. According to Forbes, only three percent of data is actually analyzed by companies. This means the other 97% lies dormant, and worse yet, might even be unknown or forgotten about by your organization. Some might suggest that data should just be stored for posterity\u2019s sake, but data is meant for more than just exposition. It is meant for action, and in order to take action on your data, you need to understand where it\u2019s all coming from and how it works with others.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The average organization produces about 1.8 exabytes (1.8 x 10 ^ 18 bytes) of structured and unstructured data per day while collecting much more than that. To help you visualize just how large this is, it would be like producing 4.7 GB of data per second!\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Does your business know what to do with all of the data you have collected? Data is one of the biggest challenges facing businesses today. It seems like everyone is collecting it, but all too often no one knows what to do with it. As a result, large amounts of data are either archived or deleted, having never been used.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Your \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"tKi2dd_FS\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"data management system\"\n        })\n      }), \" plays an important role in any organization. Many companies are drowning in data and don't know what to do with it. So, how confident are you that your company's data is being managed sufficiently? How would you assess the current situation? How much of a priority is it to have a good DMS?\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data management systems are a set of technologies and processes that help you maximize the value of your data. That, combined with how it can impact your business operations, should make it a precious tool for your business. What Data Management System are you using? If you are looking to set up a new data management system or looking to migrate check out AI-Surge.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data management system is an essential system for any organization. It ensures that all data is traceable and accounted for, that tasks can be performed efficiently and effectively.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is a company\u2019s most valuable asset. The vast majority of companies, however, lack an effective strategy for acquiring useful data and turning it into actionable knowledge that can impact how they do business or that can provide a basis for decision-making?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is\u2026well, it\u2019s like money, if money were bits and bytes instead of paper or precious metals. This means that data can be turned into hard cash and that, as with all forms of capital investment, a business should consider many different ways to put its data to work. There are many types of data: internal logs from your website, consumer purchasing habits, social media sentiment analysis, traffic and revenue statistics for your mobile app, transactional records from your e-commerce site, and much more.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Almost any data\u2014whether generated by your customers, prospects or your own business\u2014can be put to work.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When people think of big data, they immediately conjure up visions of high-flying technology, self-driving cars, and AI robots doing their jobs while we all sit on the beach sipping cocktails and laughing at them. But those things are secondary to the real power of big data. Big data is the future of management\u2014and arguably, it already is today\u2019s management. It\u2019s helping organizations become more efficient, more productive, and smarter in how they go about their work, as well as make better decisions\u2014decisions that allow them to stay competitive in an increasingly challenging business environment.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"How can you do that? Well, start with a push for more data accessibility \u2013 everyone who needs the data to make decisions should be able to get it. Then, demand better decision-making from your people. A platform that makes it easy for people to access your data and do quick analytics on the data sets in a matter of minutes is an essential part of knowing what to do with your company's data. Allows you to also monitor and manage performance over time.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The Quality of your Company's data is extremely important. It is not just about having data, but the quality of the data is fundamentally important. Without good quality data, it will become very difficult to do any sort of analysis as nothing will make sense.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: 'How do you know the data is better? Making data more relevant means improving how clean/structured it is. Better accuracy comes from improved data validation, as well as maintaining consistent definitions and formatting across inputs and outputs. Then, make better use of big data and the analytical insights it enables \u2014 and be prepared to share those insights widely. To do so, a company should make sure that its people are able to run relevant reports without implementing complex architectures or systems. And they have to listen to what their data business-people tell them.\"'\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The quality of the data provided is very important. Not just the availability of data, but the quality of the data is fundamentally important. And it is not just about having data but having good data, to begin with. How do you know you have good data? A lot of companies cannot answer this question. Like I stated in my post on Data Visualization, organizations that are able to answer this question will have a big competitive advantage over their competition and already know what works for them and what doesn't work for them. With AI Surge's Data Quality feature you don't have to worry about the quality of your data. You get on the fly and automated Data Quality checks.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A lot of company Data is everywhere, and metrics help us measure our progress and spot opportunities to improve. But how do we know what to measure when? How do we make sure the metrics are meaningful? And how do we share the stories they tell about our organization\u2019s performance with everyone in an impactful way? panies often struggle with decision-making because they make decisions based on the wrong data. For example, I get a lot of insights into what entrepreneurs are measuring that I think is wrong.\\xa0At one point until recently, a company was tracking pageviews as an indicator of success or failure across their business.\\xa0Their sales teams would even go to the engineering teams and say \u201Cwe need more pageviews\u201D and then the engineers would optimize to simply get more clicks on content.\\xa0This is only relevant if you had a product that sold on a per-click basis, which this company did not have.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Second, share your insights with more people. Operationalize data by building dashboards and reporting tools that everyone can use. Increase the number of people who have access to the data, and give those people the tools to understand it.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Better data means using measurable KPIs that you can track and test. You can use data analysis to determine what\u2019s important to customers and predict future trends. Second, use your newfound \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://www.omnisci.com/technical-glossary/data-intelligence\",\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"data intelligence \"\n        })\n      }), \"to make some changes, in order to meet a new goal.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Bad Data + Bad Decisions = Lots of Bad Outcomes\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With the rise of Big Data comes a lot of data mining companies. However, it\u2019s important to understand that not all Big Data experts are created equal. Just because you have marketing data doesn\u2019t mean you have Big Data and when you have access to \u201CBig Data\u201D it doesn\u2019t necessarily mean you know how to correctly analyze it. You could throw an elephant into a blender but that doesn\u2019t mean that the elephant is going to come out the other end as a milkshake.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Is the data in your organization well managed and up-to-date? If not, it could be a headache to operate and may have significant impacts on an organization's business functions. Data management is therefore among the most crucial issues for any business. 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The volume of information is increasing daily, and it's becoming significantly more challenging to monitor your business performance and make informed decisions. If you\u2019re looking for good news, we have good news for you: it is possible! With AI Remedies you can generate customized reports, dashboards, create good data visualization, and better storytelling!\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Thanks to technology, we are now able to create \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://www.investopedia.com/terms/b/business-intelligence-bi.asp\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"business intelligence\"\n        })\n      }), \" solutions that were impossible before. 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At this time, a lot of pundits are talking about the opportunity that exists as a result of the abundance of data out there. A less-discussed, but equally important challenge is how to turn data insights into action.\",\n  fdrdneEfZ: \"2021-01-31T00:00:00.000Z\",\n  fosXhL9qw: \"AI-Surge Cloud is a data insights company that turns your unstructured data into actionable, visualized insights.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Turning data insights into action\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"We all love our spreadsheets. But at the end of the day, we want to make a difference in our clients\u2019 businesses. 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Some of us may want to know how our site is being used, others may be interested in spending more time and attention on emerging channels, and still, others may simply want to measure growth trends over time.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Every business wants to achieve success, and one of the best ways to achieve it is through data. We want to measure as much data as we can, but there are problems with this approach. You need to be measuring the right things. Not everything will contribute positively to achieving what you want.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Use segmentation to drive action:\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(Link, {\n        href: \"https://www.leadiro.com/blog/data-segmentation\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data segmentation\"\n        })\n      }), \" is a methodology that takes a big data set and then splits it into smaller groups based on the desired results from these groups.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Segmentation helps you understand your customers better and target the right messages to the right audience. 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But how do we know what to measure when? How do we make sure the metrics are meaningful? And how do we share the stories they tell about our organization\u2019s performance with everyone in an impactful way?\",\n  fdrdneEfZ: \"2021-01-31T00:00:00.000Z\",\n  fosXhL9qw: \"A guide to the artificial intelligence revolution and what it means for business.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Artificial Intelligence Introduction for Business\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is everywhere and metrics help us measure our progress and spot opportunities to improve. But how do we know what to measure when? How do we make sure the metrics are meaningful? And how do we share the stories they tell about our organization\u2019s performance with everyone in an impactful way?Movies like Terminator warn us about how easy it might be to create an intelligent network like Skynet that could extinguish our species through a simple binary miscalculation. Unlike Skynet, however, there are no evil machines here. We\u2019re talking humans here. The nightmare scenario could play out in the future\u2026now\u2026is it possible that someone has already deployed an Artificial Intelligence at scale and we have no idea what we\u2019re dealing with? Who has the incentive and resources to do this?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Artificial intelligence has come a long way, and today it is increasingly common to see autonomous systems making decisions that affect our lives. We\u2019ve had navigational assistance from GPS for years, and robotic vacuum cleaners are becoming more popular.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In the 90s, AI and MI were confined to top-secret research labs and academic institutions. A lot of computing power and human programmers were needed to make any significant progress.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The availability of datasets and the rapid advancement in computing capabilities have propelled the implementation of AI and MI in various fields and the usage of these technologies is growing exponentially.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With this growing popularity, people have also become more intrigued by using artificial intelligence in their everyday lives. It is no longer just for tech enthusiasts and developers but also for average users. 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Software capable of self-learning is now used in almost every industry, from healthcare to finance; from transport and logistics to advertising and media. The possibilities are truly endless.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data Analytics becoming faster, more accurate, more secured, ensuring quick business decisions as a result of AI and Machine Learning.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"In \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://www.investopedia.com/terms/d/data-analytics.asp\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"data analytics\"\n        })\n      }), \", there are two main elements: accurate results, and fast. In ideal worlds, it should take you just a few minutes to assimilate volumes of data. Machine learning and artificial intelligence are changing the game, providing the resources for data analysts to get the answers they need to start making business decisions faster than ever before.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The internet has transformed into the most valuable resource for businesses that want to succeed online. Traditionally, the cyber infrastructure was built around \u2018hardware\u2019 made of computers, routers, and wires. However, it is now being constructed based on accessible data, where collaboration between artificial intelligence (AI) and human expertise is key to effective business decision-making and governance. The concept of \u2018big data', AI, and machine learning has become critical in order to ensure the safety of big corporations\u2019 data.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Every profession is getting Data Analytics treatment. Though for years Data Analytics has been known as a favorite tool of the statistician and data scientists, it\u2019s now being widely adopted by managers along with every department, at every level in organizations. AI is also becoming increasingly popular in Data Analytics, offering insights that far surpass those of the human mind alone. Machine Learning provides a powerful methodology for more accurate \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          pathVariables: {\n            AqSrYZkRk: \"power-of-predictive-analytics\"\n          },\n          webPageId: \"QwoQJwn74\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"decision-making \"\n        })\n      }), \"and great opportunities for automated processes.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"dBc0vzWe8\",\n  J5QGOt2qn: {\n    alt: \"AI Intro Image\",\n    src: new URL(\"https://framerusercontent.com/images/MuQZtQFzf4tVhBbfkj3ZWuUUkY.jpg\").href\n  },\n  jThsuyri8: \"Emily\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/GtwOtwSl1PjqgVbAXSRayeOD2M.svg\").href\n  },\n  U48Uzs3uQ: \"Predictive Analysis\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Artificial Intelligence Introduction for Business\"\n}, {\n  AqSrYZkRk: \"the-disruptions-of-2020-in-the-data-landscape\",\n  ChIDLP7g0: \"The global technology landscape is increasingly accelerating towards more disruption, this time at an unprecedented scale. We are moving beyond rapid digitization, to hyper-connectivity, data analytics, and intelligent automation solutions that reach well beyond the boundaries of enterprises.\\n\\n\",\n  fdrdneEfZ: \"2021-01-25T00:00:00.000Z\",\n  fosXhL9qw: \"What will the data landscape look like in 2020? Find out in our article, The Disruptions of 2020.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"The disruptions of 2020 in the Data landscape\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The global technology landscape is increasingly accelerating towards more disruption, this time at an unprecedented scale. We are moving beyond rapid digitization, to hyper-connectivity, data analytics, and intelligent automation solutions that reach well beyond the boundaries of enterprises.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"As Analytics and Business Intelligence systems mature, a number of different non-traditional technologies have begun to infiltrate both vertical and horizontal markets. Technologies that are making inroads are creating new disruptions for the current leaders in the Data landscape: Google, SAP, Microsoft, and Oracle.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The data landscape is rapidly changing with new technologies such as IoT, AI/ML, and Blockchain. These innovations are going to bring disruptions on the supply-demand side of the data market. The implications of these disruptions will be felt by organizations that rely on continuous access to high-quality data as they use it for their data-driven strategies.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"AI has already influenced the smooth functioning of several industries such as banking and healthcare and is expected to permeate more business sectors in the future. The IT giants across the globe are betting big on AI, with Google CEO Sundar Pichai recently claiming it all started with AI and is still far from reaching its full potential. A large section of the tech expert fraternity is developing supportive frameworks such as TensorFlow, Keras, etc., while others are enhancing their Cloud hosting platforms to offer highly scalable AI products. It is only a matter of time until we recognize AI as an inseparable part of our daily lives\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Individuals are enabling exponential data growth by using digital services and devices The widespread use of a plethora of digital services is transforming the data landscape. Faster connectivity and near-ubiquitous smartphone adoption \u2013 exceeding 80% in countries such as the UK \u2013 enable users to create and share vast volumes of data seamlessly. Globally, this is reflected in activities such as the 35 billion e-commerce transactions made annually, more than 6 billion online searches made each day, and around 500 hours of video uploaded to YouTube every minute.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Consumer devices and applications have become ingrained in everyday lives. The average smartphone owner in the US, UK, Italy, and Spain interacts with more than 25 applications per month, including communication, productivity, games, entertainment, and travel applications. The amount of data being generated by individuals through these interactions is expanding exponentially as a result. As much as two-thirds of all data is estimated to have been generated by individuals \u2013 amounting to around 10 zettabytes, the equivalent of approximately two trillion DVDs. Exponential future growth is expected, with the total volume of digital data in existence expected to have increased tenfold by 2025.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"New devices such as wearables, connected cars, and connected homes will make a key contribution; the International Data Corporation (IDC) forecasts 80 billion connected devices by 2025 globally, compared to 11 billion connected devices in 2016. These devices will be supported by 5G networks that could support up to 1 million connected devices per square kilometer\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Individuals create data by interacting with a diverse and expanding range of organizations Individuals today routinely use a variety of offline and online services. In doing so, they may establish \u2018data relationships\u2019 with organizations when they create and share data with a service provider, whether by registering, viewing online content, making purchases, or otherwise engaging with a service. There is limited existing evidence on the volume of data relationships overall, reflecting that data is generated and shared across a wide range of services and sectors. Some data relationships, such as with employers, insurers, or utility suppliers, occur across a large majority of individuals, but the potential for further data generation through other activities is vast. To explore this, Deloitte commissioned a bespoke survey conducted by Ipsos MORI to examine the usage of a range of common services10 by individuals in the UK, Germany, and France. Survey results reveal that individuals on average hold data relationships with 24 organizations across the select categories included in the survey, in addition to other data relationships falling within categories that are almost universally used. Overall, the average individual can be estimated to hold around 35 data relationships across all of these categories.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Within each category, the use of multiple providers is prevalent; for example, where individuals shop online, they typically use around five different retailers. These estimates may yet understate the true number, as the survey responses rely on recollection and therefore may focus on services and providers used most frequently or recently. The findings vary across individuals; for example, for the 10% of individuals who use a particularly wide range of services, the estimated overall number of data relationships is around 60 on average and in some cases exceeds 100. The set of services and providers used are different for each individual, meaning that the total number of providers individuals interact with across the categories is estimated to be in the order of hundreds. These findings appear consistent with relevant existing evidence. For example, in various developed countries, it is estimated that the average smartphone user uses more than 25 applications per month, which would not include other types of data relationships. 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Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.\",\n  fdrdneEfZ: \"2021-01-23T00:00:00.000Z\",\n  fosXhL9qw: \"Cloud computing is changing the world! Upgrade your business today and see how quickly we can make you more competitive.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Why everyone is moving to the cloud, you should too.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Application modernization is no longer an option in today\u2019s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuriA majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Application modernization is no longer an option in today\u2019s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuring resources.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn\u2019t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT\u2019s business demands?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"\u201CSo what\u2019s so difficult about getting started with the cloud?\u201D you ask. That\u2019s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn\u2019t necessarily hard. It\u2019s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other \u2018cloud\u2019 architectures in which the resources are pooled rather than being dedicated to a specific client.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be \u201Ccloud-ready.\u201D Today\u2019s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what\u2019s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What\u2019s so appealing about it? And if my company doesn\u2019t need to store data on the cloud anyway, why is everyone paying more for this service?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It\u2019s already a lot more reliable than some of the technologies you use to store your data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you\u2019re undoubtedly accustomed to dealing with on-premise.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It\u2019s becoming increasingly difficult for companies to manage endpoints on their networks \u2014 whether they are people, software services, communications, or devices. That\u2019s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That\u2019s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate\u2014inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If your company isn\u2019t ready to go all-in on the cloud, there are ways to start small. You don\u2019t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies \u2013 where you bring some applications and systems into the cloud while keeping others on-premise \u2013 give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If there is one benefit of cloud computing that everyone can agree on, it\u2019s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it\u2019s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There is another wave of technology on the rise\u2014 artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. 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A built-in status monitoring tool keeps the data more accurate.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It\u2019s becoming increasingly difficult for companies to manage endpoints on their networks \u2014 whether they are people, software services, communications, or devices. That\u2019s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. 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Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate\u2014inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If your company isn\u2019t ready to go all-in on the cloud, there are ways to start small. You don\u2019t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies \u2013 where you bring some applications and systems into the cloud while keeping others on-premise \u2013 give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If there is one benefit of cloud computing that everyone can agree on, it\u2019s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it\u2019s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There is another wave of technology on the rise\u2014 artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. 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And while there is no silver bullet for making data work for your business, it does hold several keys. In this post, we\u2019ll explore the use of data to inform your everyday activity and how it can help you to make better decisions in an ever-evolving industry.\\n\\n\",\n  fdrdneEfZ: \"2021-01-23T00:00:00.000Z\",\n  fosXhL9qw: \"We help you make sense of the data at your fingertips by providing machine learning predictive analytics, data lakes, and decision intelligence.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Let data insight guide your every move\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"These days, gut instinct is no longer enough if you want to remain competitive. Most organizations realize that data should lie at the heart of their decision-making.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is key to any business. And while there is no silver bullet for making data work for your business, it does hold several keys. In this post, we\u2019ll explore the use of data to inform your everyday activity and how it can help you to make better decisions in an ever-evolving industry.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Better decisions lead to better business outcomes. However, many leaders currently struggle with how to utilize data to make informed decisions properly. It is time for executive teams, sales teams, and departmental managers alike to apply Data-Driven Decision Making (DDDM) techniques to their businesses. A recent survey of top executives revealed that the most valuable resource an organization has is not their money or their people; it\u2019s their data. The challenge lies in having access to this data while also knowing your next move.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"We review the data provided by our databases and sales reporting systems but never really take the time to look into it deeply. However, most of them are still made using the \u201Cgut\u201D instinct when it comes to big decisions. You need to understand how lousy gut judgments can affect your business.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: 'Instead of turning to dashboards or spreadsheets, businesses often default to the familiar...and flawed...method of aggregating data into a \"decision-making gut.\" Most gut instincts are simply the biases we all harbor in our subconscious. And while they might seem accurate in real-time, we know that this kind of thinking can be misleading in the long term and come with a significant downside. We are hardwired to use this kind of flawed decision-making because it\\'s fast and easy, so most organizations default back to gut instinct time and again.'\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A recent Gartner survey shows that over 80% of respondents consider data the most crucial factor in driving business results. This is a clear indication that businesses today are aware that data comes before decision-making. So if you have spent years of your life wondering how to make better decisions, it\u2019s time to get your hands dirty!\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Data insights are the fuel that powers growth. 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Marketing teams leverage every nook and cranny of their website traffic reports, social media engagement metrics, customer acquisition costs, etc. They immerse themselves in the numbers and are never afraid to make hard decisions. If you're not using data to make your marketing efforts more effective, you're behind the curve\u2014and leaving money on the table. Data is the key to unlocking business insights that can help your business grow, whether you are a startup or a Fortune 500 company. I'm often asked: What does good data look like? How do you analyze it?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: '\"Are you trying to drown in a sea of information? Can\u2019t tell the signal from the noise?\" It\u2019s ok, and I won\\'t judge. We live in an era of big data, with lots of information at our fingertips, all of which we can analyze to produce insights that can improve our businesses. 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It is key to corporate innovation and organizational transformation.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data insight is the gateway to better decision-making and increased organizational performance. The competitive advantage gleaned from effective Data Insight can transform an organization in ways that justify significant investments. Data Insight is a set of tools, processes, and human capital capabilities designed to accelerate the identification, acquisition, and application of substantive insights derived from data. Data Insight enables the enterprise to gain new knowledge from existing data assets and create new data assets for communicating important insights that will predict or catalyze future outcomes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data insights can truly revolutionize your business. So why don\u2019t companies take advantage of its power? Sometimes it just boils down to the fact that we aren\u2019t utilizing data to its full potential. In other cases, it can be because we lack a clear way to analyze our data \u2014 and make decisions based on what it is telling us. To remedy this problem, we need to know how to turn various information into insights and then move forward with them.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Organizations of all sizes use data analytics tools and technology to obtain actionable data insights\u2014knowledge that can help them anticipate and mitigate risk, boost efficiency and productivity, and increase their likelihood of success. Using these tools, they collect, process, analyze, and visualize their data to generate critical information that helps them understand customers better, optimize internal operations, identify insights that lead to improved methods and profitable growth\u2014and achieve their goals faster than ever before.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data-driven decision-making (DDDM) is an effective strategy for accelerating business performance by using data to create intelligent business decisions. DDDM can be defined as a process that involves collecting data based on measurable goals or key performance indicators (KPIs), analyzing the facts and patterns from these insights, and using them to develop strategies and activities that will benefit the business in various areas. It emphasizes analysis over intuition, sending practical outputs to appropriately relevant stakeholders. Combining this with data analytics can improve decision-making further by thinking the issues through systematically.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The correct data doesn\u2019t come easy; you need to be able to implement intelligent processes for collecting, analyzing, and verifying data in a way that is both accurate and has zero room for bias. Data needs to be accessible by everyone in your company throughout the decision-making process.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Decision-making in most organizations is a haphazard process that involves spreadsheets, incomplete data, and favoritism. Employees get frustrated with the slow process, and the higher-ups end up with bad decisions because of all the hand-holding involved. 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Data Engineering, at its core, is concerned with transforming raw data into an understandable state so that other applications and platforms can consume it.\",\n  fdrdneEfZ: \"2021-01-23T00:00:00.000Z\",\n  fosXhL9qw: \"The data engineer is that necessary, undervalued person who knows how to turn raw data into something meaningful and valuable.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Data Engineering Paradigm\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data engineering involves designing a system that handles the collection of raw \u201Csource\u201D data, transforms it according to the initial business use case or use cases, and finally to production data. Data Engineering, at its core, is concerned with transforming raw data into an understandable state so that other applications and platforms can consume it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data engineering is a new type of engineering focusing on managing and scaling data. All over the world, there is a need to run sophisticated data processing \u2013 all kinds of things from fraud detection, ad optimization, churn prediction, to web page design. The tools and technologies are ready to help you scale big data processing.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data Engineers play a crucial role in advancing the field of data science. They extract value from data not typically accessible to typical analysis. They are coming up with new ideas and methodologies for models to be built on top of large amounts of data. Yet despite their importance, education in data engineering has been limited\u2026until now.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It\u2019s not straightforward. Before a company can optimize the business more efficiently or build data products more intelligently, layers of foundational work need to be made first. And when it\u2019s done incorrectly or left to grow out of control, companies and teams fall subject to the dreaded \u201Canalysis paralysis.\u201D The cure is found in data engineering.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Before we get into more advanced applications of AI, a company needs to lay the foundation. The layers underneath include collecting, labeling, and cleaning data. For example, if data collection efforts are not thorough, AI won\u2019t work well because it doesn\u2019t have the information required to achieve the organization\u2019s goal.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Without that work, companies scramble to make progress using outdated tools and practices. So many companies need months to set up basic infrastructure in their data organization. Many of the required capabilities are impossible to implement without modern technologies like AI Surge. Too much time is being spent maintaining existing systems instead of improving them or building new ones. The operations burden is increasing complexity and decreasing business agility and productivity.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"To do anything with data in a system, you must first ensure that it can reliably flow into and through the system. With AI Surge\u2019s No Code Connector, you can connect to all your data sources and start working on your data in minutes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The significant advantage of Data Engineering over traditional modeling techniques is that it relies heavily on metadata to provide extensive knowledge of the underlying database. Metadata is essentially a description of a data model, and Data Engineering attempts to define the most appropriate metadata needed for each model.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The ultimate goal of data engineering is to provide organized and consistent data flow to enable data-driven work in the organization so that business users can perform their day-to-day roles with minimal friction and distractions. When done right, this results in a well-tuned pipeline for delivering new data to other teams across the company.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In an entirely data-driven organization, it\u2019s easier to make decisions. Everyone can access the same up-to-date information. Business users and analysts have clean, understandable data to build new models, create new products, and innovate with data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data engineering is a growing business domain that supports most other branches of data science. Data processing is the crucial link between data collection and data analysis. Most analytics software and tools are designed with this focus on batch processing. However, this is not practical for many real-time or nearly real-time applications where we need streaming analytics. Streaming analytics can process streaming data in motion to generate results as fast as possible while keeping storage and bandwidth constraints in mind.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Data Normalization and Modeling\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Data flowing into a system is excellent. However, the data need to conform to some architectural standard at some point.\\xa0\", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Normalizing\"\n      }), \"\\xa0data is a process that serves to improve the quality of the data being used by an application. This includes but is not limited to the following steps:\"]\n    }), /*#__PURE__*/_jsxs(\"ul\", {\n      style: {\n        \"--framer-font-size\": \"16px\",\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgb(2, 2, 2)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsxs(\"p\", {\n          children: [\"Removing duplicates (\", /*#__PURE__*/_jsx(\"strong\", {\n            children: \"deduplication\"\n          }), \")\"]\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Removing duplicate records or conflicting values from distinct databases- Data Profiling\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Fixing conflicting data\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Conforming data to a specified data model\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Synchronizing data from different sources\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Data Cleaning\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data can be messy. If you\u2019re storing data in a database, it\u2019ll need some clean-up before you can start using it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data cleaning is cleaning collected data to be classified into a desired form for analysis. There are many different ways that you can clean your data. In general, you want your data to be as accurate, complete, and consistent as possible for analysis. Examples of Cleaning Data: Casting the same data to a single type (for example, forcing strings in an integer field to be integers) Removing undesirable values and undesired cases (pattern) Removing empty or duplicated variables Eliminating errors and inconsistencies Ensuring data has been cleaned \u2013 Checking error lists\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If you\u2019ve ever worked with data from multiple sources, you might be familiar with the problem of data that differs from what you expected. One commonly problematic piece is when data comes in as a string (text) but needs to be an integer. For example, if you\u2019re working with a list of user IDs and want to run a report on them, you might find some users were input as text (hope I got IDs everywhere!) and others as integers or even double-digit numbers. You might need to cast all those strings into an integer type to perform any operations (summing, grouping, etc.) or transformations on them. This is typically called casting in the software engineering world \u2013 meaning \u201Cforce\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It\u2019s tempting to skip data cleaning when you want to build a beautiful dashboard on your database. However, the outcome is always messy, and inaccurate data flows. What if there is already data in your database which takes a specific type of data? Well, you know how frustrating and difficult it can be for anyone who has ever tried to do data science on a database with mixed values.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Data Accessibility\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data accessibility refers to how easy the data is for customers to access and understand. Data accessibility is somewhat of a subjective term, meaning how accessible the data vary from customer to customer. For example, a business person will need to access his company\u2019s product shipments every day on a schedule. The company\u2019s CEO may only need monthly reports regarding which products are doing well in what markets.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data accessibility is a somewhat ambiguous term that refers to the ability to use data for analysis and application. There are three principal means to improve data accessibility:\"\n    }), /*#__PURE__*/_jsxs(\"ol\", {\n      style: {\n        \"--framer-font-size\": \"16px\",\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgb(2, 2, 2)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"data storage \u2013 This could be either cloud or on-premises.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Access to data \u2013 Whether one will use other programs, analytics, databases, or even the command line, or query the data from within their tools.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Visualizability \u2013 Whether some interface allows them to create visualizations and reports.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data accessibility is key to the success of A.I. and any businesses that want to leverage data for insights. 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A key lever for improving both of those metrics is data.\",\n  fdrdneEfZ: \"2021-01-18T00:00:00.000Z\",\n  fosXhL9qw: \"AI-Surge Cloud has revolutionized the data management industry with their ROI-focused cloud computing services.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Data Management ROI\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Today\u2019s business executives must master the fine art of driving down costs and increasing operational efficiency. A key lever for improving both of those metrics is data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The primary objective of a database is to organize information so that an organization or consumer can easily access it. As the information stored grows, ensuring this data is secure, accurate, and accessible becomes ever more pressing. 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This means developing strategies to help the marketing team see that there are concrete reasons for initiatives and new investments into data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is growing at an exponential rate. Most companies store too much information for their excellent. Data management has the power to improve efficiency, gain competitive advantages, and save time and money. But what\u2019s the ROI of data management? Does it pay off?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"What are the key metrics that data application managers should be measuring? What should they consider valuable even if they don\u2019t count them? How do we link the ROI of a data application back to business results? The answers to these questions depend on the value you intend to create with your organization\u2019s data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are two key drivers of risk and cost related to structured data compliance: failure to comply (through lack of preparation or poorly managed execution) and the ongoing operational costs associated with the technology, governance, and human resources required to maintain a compliant solution.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"For many people, it\u2019s easy to be blinded by the promise of big data. Big data is big news that will eventually bring value, so why question its potential ROI? Throwing a ton of money at data and hoping for the best might not be the best approach. To make intelligent decisions about how much to invest in big data and figure out when you can see ROI, you need to think holistically from end to end and understand what every piece of your big data puzzle can do for your organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"I know what you\u2019re thinking. You already manage your data, so why should you care about its ROI?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are so many reasons to implement a Data Management Platform. Thanks to the increased availability of data, with great platforms growing in popularity, businesses can now focus on going global. 82% of companies plan to expand their overseas operations next year. This may seem daunting, but thanks to modern solutions, businesses that are still looking to grow internationally have the opportunity to succeed in the global markets.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In today\u2019s business climate, doing more with less is no longer a goal but a necessity for survival. In addition, this time of social distancing and remote working environments is causing us to rethink how we collaborate and obtain the same level of productivity once experienced in a corporate office.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"These days, the most successful businesses are built around the idea of \u201Chaving less but doing more.\u201D We quickly realize that to be successful, we must be innovative with our resources and data management strategies. This will not only allow us to work smarter but also feel more fulfilled in our careers.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A good Data Management ROI strategy can help identify cost reduction and operational improvement opportunities associated with how data is managed and used within an organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In every industry, there is always a concept of benchmarking, which involves the comparison of intrinsic data to determine the competitive status of a business entity in the market. Data management ROI summarizes the opportunities for cost reduction and operational improvement by analyzing the current data processing and storage environment.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Identifying and presenting the \u2018opportunity cost\u2019 of inefficient data management can help organizations justify investment in improved efficiency. Identifying opportunities for cost reduction requires an understanding of data creation, usage, storage, processing, and destruction processes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The intersection of data and cost management is a Venn diagram. If you\u2019re like me, the prospect of saving money coupled with achieving other business goals is always an attractive proposition. But let\u2019s face it, most cost reduction initiatives are implemented to attain real dollars in savings. While these efforts are essential for any company\u2019s bottom line, the business benefits are not always obvious. However, there are ways cost reduction initiatives can be more likely to pay off in clear business value.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The value of data has increased significantly over the past few years, both due to the ability to more efficiently and cost-effectively consume data from an increasing number of sources and the increase in data quality. Organizations can use this increased value of their data to make improvements similar in scope to what Henry Ford did for manufacturing when he froze prices on his Model T. The first step to achieving savings from better management of your data is understanding how you produce and consume data today and how much it costs.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Businesses are constantly seeking ways to reduce costs while improving business processes. There has never been a better time to identify de-duplication opportunities within a company\u2019s data. The ability to identify duplicate data in various applications can be used for cost reduction and operational improvement. The return on investment (ROI) for identifying and eliminating exact data can be substantial.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is like a new employee you\u2019ve hired. You expect the work it will do and how much value it will bring to your organization. You also have expectations about how much it costs to hire that employee and all the things your company will invest in it. It\u2019s critical that the investment with data management technology yields the proper return on investment (ROI)\u2014or, more accurately, positive savings. But organizations may overlook critical factors for cost reduction and operational improvement in their rush to focus on technology-driven decision making.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The potential financial impact of data management on your organization can be incredible. Data management can help you achieve dramatic cost reductions and operational excellence while supporting business innovation, risk reduction, and revenue growth. But many organizations are struggling to realize this potential, with their investment in data management yielding only modest or even negative returns. So how do you get the potential for financial return?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Regulatory concerns previously drove enhancements to data management, but eight out of 10 banks believe better data management could benefit their business and boost profitability, according to a Risk.net survey sponsored by Oracle.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Articulating the business case The survey results show that banks essentially recognize the business case for improving data management. An overwhelming 83.6% of respondents agreed that improving data management could help to boost profitability and grow the business.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"While data might historically have been seen as a burden, it is becoming clear that, by increasing the granularity and accuracy of data across the organization, banks will have greater trust in that data and should be able to make business decisions with more confidence.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"But that is not the juicy part. The most exciting news is that \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/banking/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"AI Surge\u2019s Banking Dashboards\"\n        })\n      }), \" enable organizations to generate reports that provide valuable insights that, in turn, allow them to \", /*#__PURE__*/_jsx(\"strong\", {\n        children: \"provide the most value to their customers.\"\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"EiGG6j8I2\",\n  J5QGOt2qn: {\n    alt: \"Data MAnagement ROI\",\n    src: new URL(\"https://framerusercontent.com/images/SclUWpXRou1iOZXQqa1090HGxc.jpg\").href\n  },\n  jThsuyri8: \"Emily\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/GtwOtwSl1PjqgVbAXSRayeOD2M.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Data Management ROI\"\n}, {\n  AqSrYZkRk: \"predictive-analytics-can-guarantee-business-success\",\n  ChIDLP7g0: \"A number of organizations are harnessing the power of predictive analytics to drive measurable ROI. Consider some examples: a large retailer with a major national brand that needed to reduce its customer churn rate (the percentage of customers who stop doing business with the firm). \",\n  fdrdneEfZ: \"2021-01-18T00:00:00.000Z\",\n  fosXhL9qw: \"Predictive analytics is the ultimate key to success. We show you how to use it for your business and predict future trends too!\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"p\", {\n      children: \"In a world where data is increasingly becoming more available and accessible, predictive analytics has become one of the most powerful tools that businesses can use to gain insights and drive decision-making. Predictive analytics is the process of using historical data to build models that can be used to make predictions about future events. This type of analysis can be used to identify trends, understand customer behavior, and forecast future business performance. While there are many benefits that businesses can reap from predictive analytics, perhaps the most important one is that it can help guarantee business success. By understanding what has happened in the past and using that information to make informed decisions about the future, businesses can increase their chances of achieving their goals. If you\u2019re looking for a way to give your business a competitive edge, predictive analytics is a great place to start. In this blog post, we\u2019ll explore some of the key benefits of predictive analytics and how you can use it to improve your business.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What is predictive analytics?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics is a type of data analysis that uses historical data to make predictions about future events. Predictive analytics can be used to forecast everything from customer behavior to economic trends.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics is not a new concept; businesses have been using it for years to make decisions about pricing, product development, and marketing. However, the recent explosion in data availability and advances in machine learning and artificial intelligence have made predictive analytics more powerful than ever before.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are three main types of predictive analytics:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: '1. Descriptive Analytics: Descriptive Analytics answers the question \"What happened?\" by analyzing past data to identify patterns and trends. This type of analytics can be used to understand customer behavior, identify problems, and track key performance indicators (KPIs).'\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: '2. Predictive Analytics: Predictive Analytics answers the question \"What will happen?\" by using historical data to build models that predict future events. This type of analytics can be used to forecast demand, identify opportunities, and automate decision-making.'\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: '3. Prescriptive Analytics: Prescriptive Analytics answers the question \"What should we do?\" by combining predictive analytics with optimization techniques to find the best possible course of action. This type of analytics can be used to design products, allocate resources, and personalize experiences.'\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Why predictive analytics is important for businesses\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics is a powerful tool that can help businesses to make better decisions, improve efficiency, and remain competitive. By understanding and analysing historical data, businesses can gain insight into future trends and behaviours, allowing them to make more informed decisions about where to allocate resources.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics can be used to identify opportunities and threats, understand customer needs and preferences, forecast demand, and optimise operations. In a rapidly changing business environment, predictive analytics can give businesses the agility they need to stay ahead of the competition.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many different applications for predictive analytics in business, from marketing and sales to supply chain management and human resources. By harnessing the power of data, businesses of all sizes can use predictive analytics to their advantage.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"How predictive analytics can be used to improve business success\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics is a branch of data science that uses historical data to make predictions about future events. Predictive analytics can be used to improve business success in a number of ways, including:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"1. improving customer retention rates;\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"2. increasing the accuracy of sales forecasts;\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"3. identifying new opportunities for growth; and\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"4. reducing the risk of fraud and other financial crimes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When used effectively, predictive analytics can give businesses a significant competitive advantage.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"What are the benefits of using predictive analytics?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics can help businesses to better understand their customers and anticipate their needs. By analyzing customer data, businesses can identify trends and patterns that can be used to improve marketing strategies, product development, and sales efforts. Additionally, predictive analytics can help businesses to identify risks and opportunities early on, allowing them to make more informed decisions about resources and investments. Ultimately, predictive analytics can help businesses to improve their bottom line by making more informed decisions about their customers, products, and operations.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: \"How to get started with predictive analytics\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many benefits that businesses can reap from predictive analytics. By understanding what customers want and need, businesses can increase sales and ROI while reducing the cost of customer acquisition. Additionally, predictive analytics can help identify at-risk customers and target them with personalized messages or offers, which can improve customer retention rates.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"So how can businesses get started with predictive analytics? Below are four steps to take:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"1. Define your business goals: What do you hope to achieve through predictive analytics? Increased sales? Improved customer retention? Lower costs? Once you know your goals, you can more easily select the right tools and strategies to help you reach them.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"2. Collect data: In order to make predictions, you'll need data. Start by collecting data from as many sources as possible, including social media, website usage data, sales records, customer surveys, etc. The more data you have, the more accurate your predictions will be.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"3. Clean and prepare your data: Once you have collected your data, it's important to clean it and prepare it for analysis. This step will help ensure that your results are accurate and meaningful.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"4. Analyze your data: Now it's time to start using predictive analytics! Use statistical techniques to analyze your data and look for patterns that could indicate future behavior. Experiment with different algorithms and tools until you find a method that works well for your particular dataset.\"\n    }), /*#__PURE__*/_jsx(\"h3\", {\n      children: \"Conclusion\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Predictive analytics is a powerful tool that can help businesses thrive. By understanding customer behavior and using data to predict future trends, businesses can make informed decisions that lead to success. Predictive analytics is not a magic bullet, but it is a proven method for increasing profits and ensuring long-term business viability.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"fFGP7GhPg\",\n  J5QGOt2qn: {\n    alt: \"Predictive Analytics & Business Success\",\n    src: new URL(\"https://framerusercontent.com/images/hJb8i0DckCfBbKGcCOtny2ULtdM.jpg\").href\n  },\n  jThsuyri8: \"Vijay\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2Swp2NrWVPoXOjVivpgZkhxQvmw.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Predictive analytics can guarantee business success\"\n}, {\n  AqSrYZkRk: \"what-is-your-digital-strategy\",\n  ChIDLP7g0: \"Although managing torrents of data has become crucial to companies\u2019 success, most organizations remain badly behind the curve. Data breaches are standard, rogue data sets propagate in silos, and companies\u2019 data technology often isn\u2019t up to its demands. More than 70% of employees have access to data they should not.\",\n  fdrdneEfZ: \"2021-01-18T00:00:00.000Z\",\n  fosXhL9qw: \"Data is the new oil: Our AI-powered analytics platform helps you extract, manage and use it to make better decisions.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is your Digital Strategy\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Although managing torrents of data has become crucial to companies\u2019 success, most organizations remain badly behind the curve. Data breaches are standard, rogue data sets propagate in silos, and companies\u2019 data technology often isn\u2019t up to its demands. More than 70% of employees have access to data they should not.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Everyone talks about containers, microservices, serverless, and big data. But the conversation often overlooks the management of data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Your Data Strategy is how you are going to protect your data from data breaches and protect it so that it can be used and improved upon in the future. So, how do you define a Data Strategy? It is not as easy as you think it is. It is essential to understand the importance of a data strategy and how it impacts your business in the long term to plan it appropriately.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It would help if you had an excellent Data Protection Policy to protect all your data against unauthorized access and data breaches. Without having a Data Protection Policy, a company cannot ensure that all of its data is protected. It is essential to define your organization\u2019s Data Protection Policy to enforce it throughout the organization and monitor how everyone is complying with it. It is also necessary to create staff roles for each team to ensure that your Data Protection Policy implementation is effective throughout your organization. In most businesses, there is no dedicated department responsible for implementing Data Protection, so this is one of the responsibilities that should be taken up by someone responsible for the entire organization.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data, data everywhere \u2013 but what exactly is your data management strategy? It\u2019s all about finding ways to refine your efforts and closely target specific markets. The more data you can collect, the better you understand and segment your customers.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Your Data Management Strategy (DMS) is an enterprise approach to effectively storing and managing business-critical data. Whether this data is transactional, operational, or analytical, DMS ensures you have an accurate and authoritative view of your data at any given point in time. As organizations embrace the digital age, turning everything from traditional business processes to customer touchpoints into data sources, the complexity of managing that data is increasing. It\u2019s more important than ever to address the ever-expanding volume of data on hand.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A solid data management strategy is a fundamental component of your marketing success. At any given time, you are probably tracking dozens of data points, from web traffic sources to metadata on the various pages of your website, such as title tags and meta descriptions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A data management strategy is a way to put together a plan of how you will use data and where you are going to store it. Typically, larger companies use a data management strategy, but even small companies need to think about their data strategy before it\u2019s too late.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"More than ever, managing torrents of data are critical to a company\u2019s success. But even with the emergence of data-management functions and chief data officers (CDOs), most companies remain badly behind the curve. Cross-industry studies show that, on average, less than half of an organization\u2019s structured data is actively used in making decisions\u2014and less than 1% of its unstructured data is analyzed or used at all. More than 70% of employees have access to information they should not, and 80% of analysts\u2019 time is spent simply discovering and preparing data. Data breaches are standard, rogue data sets propagate in silos, and companies\u2019 data technology often isn\u2019t up to its demands.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It would be best to have a coherent strategy for organizing, governing, analyzing, and deploying an organization\u2019s information assets. AI Surge provides an efficient way to do just that.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data management\u2019s \u201Cplumbing\u201D aspects may not be as sexy as the predictive models and colorful dashboards they produce, but they\u2019re vital to high performance. They\u2019re not just the concern of the CIO and the CDO; ensuring intelligent data management is the responsibility of all C-suite executives, starting with the CEO.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Although the information on enterprise data management is abundant, much of it is technical and focused on governance, best practices, tools, and the like. Few, if any, data-management frameworks are as business-focused as AI Surge.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It promotes the efficient use of data and allocation of resources and helps companies design their data-management activities to support their overall strategy.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"kChCfti62\",\n  J5QGOt2qn: {\n    alt: \"Your Digital Strategy\",\n    src: new URL(\"https://framerusercontent.com/images/jXSbzz48p1THVm5CTm5YLm1guo.jpg\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Business\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"What is your Digital Strategy\"\n}, {\n  AqSrYZkRk: \"who-needs-data-governance-where-data-governance-comes-from-and-why-it-works\",\n  ChIDLP7g0: \"Data is stored in multiple places across the organization which makes it challenging to keep up with. A data governance strategy helps businesses manage and control their data throughout the lifecycle so it always fits its intended use. Transversal to management, data can help influence how your business operates and make decisions in real-time.\",\n  fdrdneEfZ: \"2021-01-17T00:00:00.000Z\",\n  fosXhL9qw: \"Data governance will help you organize and classify your data, which in turn will help to protect it and provide insights into what's going on.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Who Needs Data Governance? Where Data Governance Comes From and Why It Works\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Data is stored in multiple places across the organization which makes it challenging to keep up with. A \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/data-governance/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"data governance\"\n        })\n      }), \" strategy helps businesses manage and control their data throughout the lifecycle so it always fits its intended use. Transversal to management, data can help influence how your business operates and make decisions in real-time.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data governance supports an organization\u2019s overarching data management strategy. A data governance framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Considering the data deluge, this is critical. It enables increased scalability and cost-effectiveness while reducing data errors and management overheads, thereby enabling an agile organization\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Effective data governance ensures that data is consistent and trustworthy and doesn\u2019t get misused.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data governance is how you manage your data assets. You can make sure data is accurate, relevant, and correct. Your company will use the information in these assets for business decisions such as risk management, process optimization, customer satisfaction, or product development.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Data governance can be applied to enterprise systems, big data initiatives, and \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://azure.microsoft.com/en-in/overview/what-is-cloud-computing/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"cloud computing\"\n        })\n      }), \" systems, among others.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In an ideal world, data governance programs would be implemented at every level of an organization from top to bottom. Achieving that goal is a process, and whether you\u2019re an executive or working in IT or as a business analyst, AI Surge will help you get well on your way. Today, organizations are struggling to cope with big data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When a data asset is in the wild, it can become lost, stale, or duplicated. Data governance processes ensure that data meets internal business standards and rules for usability, accessibility, and integrity as data moves through the different stages of its life cycle. It usually starts with a policy that defines the terms and conditions for creating, managing, and using data. The people component means role-based training. Technology encompasses privacy safeguards that restrict access to confidential information. And processes are often manual but can also be automated to run on a schedule to control who can update data and when.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"But\", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/who-needs-data-governance-where-data-governance-comes-from-and-why-it-works/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \" \"\n        })\n      }), \"AI Surge eliminates the need to manually govern your data and involves less human intervention so you can focus on your core business. While data governance is a core component of an overall data management strategy, AI Surge allows organizations to focus on the desired business outcomes of a governance program instead of manually finding ways to manage their data. Our Solution is an automated metadata-driven self-service data analytics platform that ensures Data Quality, visualized, and automated data lineage with high-end security and compliance capabilities on the fly. With minimal efforts and just a few clicks organizations can now build an entire data pipeline with all the transformations needed with AI Surge.\"]\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Benefits of Data Governance:\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Why is it important to establish an effective Data Governance program? Data is more than just an asset; it\u2019s a lifeline. Data governance puts processes in place to make sure your data works for you \u2014 and it can save you big bucks. The key, though, is to start with the business drivers for your organization and then find the right technology to make this happen.\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(Link, {\n        href: {\n          pathVariables: {\n            AqSrYZkRk: \"data-governance-(visuals)\"\n          },\n          webPageId: \"QwoQJwn74\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"Data governance\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"strong\", {\n        children: \" helps to ensure all data across your organization is reliable, consistent, and conforms with business rules.\"\n      })]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Improve Data Management.\"\n      }), \" AI Surge data governance functionality can improve data management by identifying inconsistencies in data across the enterprise. With \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/no-code-connector/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"No Code Connector\"\n        })\n      }), \", organizations can integrate data from various sources for comparison, identify and eliminate duplicates, and resolve conflicts automatically\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Constraints on data entry are applied and checked automatically in real-time to stop invalid data from being entered into a system. Data Governance provides a number of checks and balances to guard against data breaches, including audit trails, testing, training, and supervision. Data integrity monitors the operations of your application and alerts you to any attempts to compromise your data integrity.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Allows employees in your organization to collaborate effectively.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Enabling business people to collaborate on organizational data needs. It enables executives and employees to use data effectively by defining a common set of controls, methods, and standards for BI and analytics reporting. Again AI Surge allows you to do this right out of the box. A consistent tool for seamless collaboration and framework for data quality, data manipulation, analytics, tracking, security, and compliance. Auditing of data use is made easier because reporting is automated with AI Surge\u2019s Data Lineage.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Consistency with your Data.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"You don\u2019t want inaccuracies in the data that supports your BI and analytics applications. Research shows that 70% of BI projects are challenged due to poor data quality. As a result, business leaders are more willing to invest in effective data governance because it tends to deliver long-lasting benefits that improve operational efficiency, reduce costs, and mitigate risk.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data governance helps organizations define standardized methods to ensure that processes adhere to data quality standards. It ensures that people who enter, access, and manipulate data do so in accordance with rules defined by the company\u2019s business needs. Poor data governance can lead to system errors as well as compliance and regulatory issues. These violations can harm a company\u2019s reputation and undermine operational efficiency.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"AI Surge\"\n        })\n      }), \" Data governance is about making sure that data is fit for all the individuals and systems processing it. If you take a step back, it\u2019s about improving the overall health of your data assets.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data governance is important to any business because it ensures data accuracy, maintains security, and keeps data usable for a variety of purposes. If you don\u2019t have it, people might not understand how to fill in fields or get answers when they need them. With poor data governance in place, a business could be missing out on new opportunities because important data is sitting in silos.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data governance is a critical part in the compliance of many industries today. This is due to the fact that data used by multiple systems can\u2019t have variations from system to system or else it will be unusable.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Other benefits include reduces costs and increases productivity, enables faster time to market for any applications and services, increased data quality leading to reduced errors. helps maintain compliance with data standards, rules, and regulations.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The quality of business decisions impacts every aspect of your brand and customer satisfaction. Business leaders rely on companies to provide data-driven insights to inform their decisions. The reason is simple; the ability to make smarter, better, informed decisions increases overall conversion rates. Data governance enables organizations to have a proper understanding of the quality of information that\u2019s being presented as well as how it\u2019s being used.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Nowadays, facing a massive amount of data is a common challenge. It increases the risk of fraud to banks, insurance companies, and any other company that stores and processes data about its customers, suppliers, or employees. Banks need the ability to analyze every aspect of their business \u2013 relationships with their customers, suppliers, regulatory agencies, shareholders, and financial data \u2013 and use this information to make effective decisions in the best interest of their stakeholders. Having a strong fraud detection and preventive system is critical for a bank\u2019s viability. With access to AI Surge\u2019s Industry-specific use cases and solutions, banks, insurance firms, telcos, and other industries can take advantage of advanced analytics capabilities to detect patterns of fraudulent behavior at scale.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"qmDKkjwzO\",\n  J5QGOt2qn: {\n    alt: \"Data Governance Working\",\n    src: new URL(\"https://framerusercontent.com/images/RlepEtTbbckw6tBDP1m9Jfh2IM.jpg\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Data Analytics\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"Who Needs Data Governance? Where Data Governance Comes From and Why It Works\"\n}, {\n  AqSrYZkRk: \"what-covid-19-is-teaching-us-about-big-data\",\n  ChIDLP7g0: \"Big data is an enabler. In the wake of the crisis, we have learned a lot about big data in action during the COVID-19 crisis. These lessons will make it easier for governments, enterprises, and vendors to deliver better big data projects and products. Visualization is paramount. With detection time measured in minutes instead of days, forecasters are forced to visualize every bit of data available. \",\n  fdrdneEfZ: \"2021-01-11T00:00:00.000Z\",\n  fosXhL9qw: \"We explore how Big Data analytics can help large companies like Covid 19 gather insights and make smarter decisions.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"What Covid 19 is teaching us about Big Data\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big data is an enabler. In the wake of the crisis, we have learned a lot about big data in action during the COVID-19 crisis. These lessons will make it easier for governments, enterprises, and vendors to deliver better big data projects and products. Visualization is paramount. With detection time measured in minutes instead of days, forecasters are forced to visualize every bit of data available. The success of the COVID-19 data management and response system created an ecosystem of companies that contribute to the program by providing specific expertise.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Covid 19 showed us the importance of real-time streaming analytics, and Big data projects are mission-critical and require high levels of collaboration across functional areas and agencies.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The virus has spread to every continent, and case numbers continue to rise. In 218 countries and territories, authorities have reported about 90.2 million Covid\u201119 cases and 1.9 million deaths since China reported its first cases to the World Health Organization (WHO) in December 2019.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If you\u2019ve been following the news of the COVID-19 pandemic, you likely realize how important it is to prepare for a global pandemic like this ahead of time. Enterprises and vendors alike have learned a lot about big data from this experience. Many in our industry speak up about how they have tons of data but no clue where to start on analyzing it. Visualization is paramount to get the most leverage from your big data. Big data projects need special consideration for three reasons: They are mission-critical and cannot fail, often the number one decision driver for many companies, and fail to deliver on the big data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A great deal of analysis and knowledge sharing was needed to make sense of the hundreds of terabytes of data coming in from COVID-19.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Monitoring the health situation, trends, progress, and performance of health systems requires data from multiple sources on various health topics. A core component of WHO\u2019s support to the Member States is to strengthen their capacity to collect, compile, manage, analyze and use health data mainly derived from population-based sources (household surveys, civil registration systems of important events) and institution-based sources (administrative and operational activities of institutions, such as health facilities).\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Our success with CoVID-19 was mainly because we could integrate clinical data from a variety of sources.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Digital strategy in a time of crisis. Now is the time for bold learning at scale.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Governments around the world moved the timeline for digital transformation in the face of the coronavirus era with the luxury of time disappearing. From the first wave of the pandemic to the second wave, governments that once mapped digital strategy in one- to three-year phases must now scale their initiatives in days or weeks. But more important, time pressures will force organizations to be high \u2013 resolution planning and execution.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If the pandemic has made anything clear to governments and businesses, it is that this is no time for complacency. Companies in every sector and geography are racing to become ever more digitally agile to ensure they can capture new opportunities and avoid getting left behind by a fast-moving market.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"While the pandemic is still evolving \u2014 and no one knows what will happen next \u2014 executives\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"already recognize some imperatives. To deliver a healthcare system that can efficiently treat, contain, and ultimately defeat the disease, governments must collaborate with the private sector to develop a rapid response force of data management systems that can track and monitor cases. Using COVID-19 data to fight & contain the pandemic with advanced analytics is critical to protect public health & save lives.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"According to McKinsey, In one European survey, about 70 percent of executives from Austria, Germany, and Switzerland said the pandemic is likely to accelerate their digital transformation. The quickening is evident already across sectors and geographies. Consider how Asian banks have swiftly migrated physical channels online, how healthcare providers have raced into telehealth, insurers into self-service claims assessment, and retailers into contactless shopping and delivery.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A data analytics tool can show how countries\u2019 different COVID-19 testing strategies and other mitigation methods can help reduce the spread of the virus.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The COVID-19 Data analytics tools demonstrate how recommended measures \u2013 such as mask-wearing, contact tracing, and social distancing \u2013 can work in conjunction with testing to reduce the spread of the virus further.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Many countries are using\\xa0social distancing strategies\\xa0to decrease the transmission of the virus before moving to full lockdowns. Using spatial data on\\xa0human mobility, governments\\xa0can see where measures are or aren\u2019t working\\xa0using dashboards and include critical POIs (hospitals, supermarkets, clinics) to understand patterns.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Social distancing strategies decrease the transmission of diseases among large populations. Their effects include discouraging travel, isolating infected individuals, and reducing public gatherings. Ethical concerns arise with quarantine measures, but a society faces the threat of an epidemic if it doesn\u2019t take decisive action.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The COVID-19 crisis seemingly provides a sudden glimpse into a future world, one in which digital has become central to every interaction, forcing both organizations and individuals further up the adoption curve almost overnight. A world in which digital channels become the primary (and, in some cases, sole) customer-engagement model, and automated processes become a primary driver of productivity\u2014and the basis of flexible, transparent, and stable supply chains. A world in which agile ways of working are a prerequisite to meeting seemingly daily changes to customer behavior.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"qORB4yi2b\",\n  J5QGOt2qn: {\n    alt: \"COVID 19 and Big Data\",\n    src: new URL(\"https://framerusercontent.com/images/v8L34Zsc6FxLCL12FbGC55cdlnI.jpg\").href\n  },\n  jThsuyri8: \"Emily\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/GtwOtwSl1PjqgVbAXSRayeOD2M.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"rgb(0, 153, 255)\",\n  W5qcwJgZZ: \"What Covid 19 is teaching us about Big Data\"\n}, {\n  AqSrYZkRk: \"what-is-big-data\",\n  ChIDLP7g0: \"Big data is a term that was coined by William H. Inmon in 1996. The purpose of using this term was to explain the management problems in processing large amounts of data. The term big data has been coined to describe the massive amounts of data created all around the world every day. \",\n  fdrdneEfZ: \"2021-01-10T00:00:00.000Z\",\n  fosXhL9qw: \"Is Big Data really that big? Find out what the hype is all about.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"What is Big Data?\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Big data\"\n        })\n      }), \" is a term that was coined by William H. Inmon in 1996. The purpose of using this term was to explain the management problems in processing large amounts of data. The term big data has been coined to describe the massive amounts of data created all around the world every day. It is used in a variety of industries and fields such as business, medical, cyber-security, and social sciences.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Big data pulls in from a variety of sources numerous types of structured and unstructured data such as articles, tweets, blogs, forums, images, video content, sensors, satellites, patients, mobile gadgets and applications, videos, web logs etc. \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Big data analytics\"\n        })\n      }), \" methods such as machine learning and statistical analysis techniques are used to get valuable insights by analyzing big data.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"There are many definitions of Big Data, but we will not just focus on the definition but the importance of the growth of Big Data and its implications to organizational development.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The Internet of Things (IoT), massive amounts of data, the cloud. It\u2019s all adding up to exponential data growth.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big Data in principle is data so large in size and complexity that none of the traditional data management tools can store it or process it efficiently. It is also data with so large size and so complex that traditional data analysis tools cannot deal with it efficiently.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"For instance, the data of Facebook (The platform with \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://s21.q4cdn.com/399680738/files/doc_financials/2019/q3/Q3-2019-Earnings-Presentation.pdf\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"nearly 2.45 billion monthly active users\"\n        })\n      }), \"). posts alone each user makes every day would occupy more than 300 MB per day resulting in more than 200 PB of data every year.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h3\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"1.62 billion users\\xa0\"\n      }), /*#__PURE__*/_jsx(Link, {\n        href: \"https://zephoria.com/top-15-valuable-facebook-statistics/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: /*#__PURE__*/_jsx(\"strong\", {\n            children: \"visit Facebook daily\"\n          })\n        })\n      }), /*#__PURE__*/_jsx(\"strong\", {\n        children: \".\"\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"While it might seem like there\u2019s an urge to use social media less, the data shows otherwise. Facebook\u2019s overall active users continue to increase every year across the platform as a whole.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big Data is making strides in almost every corporation, with the majority of businesses coming to an understanding that big data is a core value in terms of improving the operational efficiency of the business. Big data analytics equip businesses with actionable insights and value to make strategic market decisions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Although the data volume in big data is huge, the data variety is even more so. It contains structured, semi-structured, and unstructured data such as images, videos, social networking posts, weather data, medical records \u2026\u2026 In addition to the large volume of data, its complexity is growing exponentially with time. It can contain information from multiple sources and in various formats. This makes it difficult for traditional databases and file systems to store and process them effectively.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"What Makes Big Data Big?\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"As the name suggests, the data is big in size. It is not always about how much data we store but also about the data generated every second and that too from various sources, including social media and numerous sensors\u2026 Big data may contain petabytes of information with respect to their storage capacities which cannot be accessed by any single machine or software. This is because of its complexity in nature.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big data has all that one can ask for \u2013 a reasonable size of data, but the speed and agility make it really challenging to deal with. It is a fast-growing breed of data generation which leads to new opportunities of using it at a new level. Big data today makes the headlines, but no one is effectively making use of it. We are in the initial stage where big data are searched to sort out all our issues. Give some time and search will give results. Big data is a good step towards an effective solution to present-day problems.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"What is unstructured data? It is any data that has not been classified, categorized, and sorted. Examples include unstructured text, emails, and other digital forms of data. As the need for more information increases, the amount of structured data available decreases. Structured data can include any of the following: sales records, insurance quotes, loan information, and customer lists.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big Data visualization tools refer to tools that enable users to explore, analyze, and visualize big data sets. By \u201Cbig,\u201D it is meant large data sets; therefore, it encompasses all types of unstructured data. By way of example, say you have a website with millions of visitors. You could analyze the leads you are getting from the website using a piece of data management tool like AI Surge and visualize your visitors\u2019 relationships with each other.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Big Data is an issue that is gaining much visibility and for good reasons, Big Data will be a key to unlock many of business uncertainties. Companies would typically need machine learning engineers and data scientists to extract useful information from these massive amounts of data. But not anymore. \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"No Code Data Analytics\"\n        })\n      }), \" tools like AI Surge comes embedded in its functionality machine learning and automation capabilities.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Advanced analytics for businesses and the ability to make better decisions. From simple business observations to complex scientific analysis, Big Data has transformed nearly every industry, including medicine, law enforcement, aerospace, energy, and transportation.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In today\u2019s Big Data era, organizations are generating a huge quantity of data. The key question is how to utilize big data and extract insights that can be useful for business. Businesses that master the art of analyzing big data have achieved a competitive advantage over their counterparts as they can provide valuable insights for their companies. Big Data has become one of the hottest topics in the market.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Big data has become an important tool for decision-making and is used by all the critical industries across the globe. Due to the numerous benefits it offers, big data is also referred to as a competitive weapon by many organizations. Big data helps in strengthening your marketing techniques, e-commerce strategies, risk analysis, supply chain management, and provide a better customer experience etc. When it comes to big data technology there are numerous tools and software that can help you achieve your business goals. With the advancement of big data technologies, it has become crucial for organizations to focus on the right technique for analyzing their big data in order to gain insights out of it.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The future of business seems to be rooted in increasing globalization and every organization has to remain competitive. The modern-day \u201CBig Data\u201D solutions are based on data analytics to decisions, to understand customers better, and to improve the quality of any business process. These analytics are based on include structured Big Data management tools.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In the past, data mining was used to locate certain patterns or anomalies in large amounts of unstructured data. However, with the recent boom in AI Driven analytics platforms like AI Surge, analyzing large amounts of unstructured data can also be applied as analytics. Examples of such large amounts include web page rankings, product searches, social media data, and location searches. Today, there are many different varieties of analytics applications, and several different approaches to storing, organizing, and running this big data. Here are some examples:\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"If you need to apply insights from social media to your business model, AI Surge will be your best friend. Social media allows us to connect and interact with people around the world in a highly dynamic way, which makes it an excellent tool for data mining. The social media network has enabled many business owners to create personalized news feeds that show only the most relevant posts to users based on their interests. Facebook, Twitter, and LinkedIn can also be used for analytics because of their open-source nature.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With AI Surge you are able to visualize the relationships among various sources like business processes, sales, customer lists, and more. AI Remedies, the name was given to AI Surge\u2019s beautiful dashboards allows businesses to visualize and provide insight into how people use and access your products and services. By providing insight into these various sources, Big Data analytics enables businesses to make informed decisions about expanding their business, implementing solutions to improve their performance, and monitoring user trends. Companies looking to apply Big Data analytics in their organization can try out AI Surge for free to start making sense of their Big Data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Big Data has infinite potential to change the world we live in forever.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"ADQeITZbo\",\n  J5QGOt2qn: {\n    alt: \"What is Big Data\",\n    src: new URL(\"https://framerusercontent.com/images/LciI3x7miH8X5mX631U87OJerHk.jpg\").href\n  },\n  jThsuyri8: \"Raza Sheikh\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/2eEdvxBbLZ9ZcGbQnt1Vv0i2TQY.svg\").href\n  },\n  U48Uzs3uQ: \"Big Data\",\n  vfDIXoFRA: \"#0dbec3\",\n  W5qcwJgZZ: \"What is Big Data?\"\n}, {\n  AqSrYZkRk: \"introduction-to-actionable-analytics\",\n  ChIDLP7g0: \"Data is everywhere. We collect it, distribute it, store it, and do a lot of stuff with it. So much that there\u2019s a saying, \u201CData is the new oil.\u201D The problem is: that most of us have no idea what to do with that big pile of data.\\n\\n\",\n  fdrdneEfZ: \"2021-01-10T00:00:00.000Z\",\n  fosXhL9qw: \"Actionable Analytics is the next evolution in business intelligence. Get an introduction to AI-Surge and how it can help your business.\",\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"Introduction to Actionable Analytics\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data is everywhere. We collect it, distribute it, store it, and do a lot of stuff with it. So much that there\u2019s a saying, \u201CData is the new oil.\u201D The problem is: that most of us have no idea what to do with that big pile of data.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"A friend of mine recently asked me if I could recommend an \u201D actionable \u201D solution for his business.\u201D He wanted to know how he could get insights from his web analytics that would lead to an improvement in his company. I was impressed by his use of the word \u2018actionable.\u2019\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Actionable Analytics is all about gathering data, sharing insights, and getting people to take action. The problem with some of the data we have today is that it\u2019s not very actionable. Advanced analytics platforms are a great source of data. 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But it\u2019s useless unless you have a system to turn it into valuable insight and actionable analytics. Whether it\u2019s a free system you built yourself in an afternoon or a sophisticated enterprise solution, the strategies to turn data into actionable analytics are the same. When you can consistently turn data into insight, you get a glimpse behind the curtain that reveals problems and opportunities that were invisible before. The mindest is critical in empowering every individual in your organization with the tools to collect, use data and get actionable insights from their business activities.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Enterprise users benefit from actionable analytics in that they can apply their Big Data to make fast business decisions. Actionable analytics allows companies to identify patterns, trends, and insights within their data. Adding it all together, actionable analytics offer organizations of all sizes a unique opportunity to gain valuable insight into their customers, products, and employees, allowing them to make proactive moves in the right direction that will benefit the business.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Businesses use data to make decisions every day. The problem is that most of the decisions are based on guesses that may or may not be correct. You will have more actionable insights about your project or business by using analytics tools and techniques. This will give you an excellent chance to increase your revenue and improve your user experience.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"When it comes to analytics, one size doesn\u2019t fit all. Every situation needs to be analyzed, first and foremost, to understand the required type of insight. What problem are you trying to solve? Who are you trying to help? When do they need insight? It sure is a tall order! And if there\u2019s one thing that can make matters worse, it has multiple tools.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"You need a unified one-stop platform that provides answers to all these questions. AI Surge is the only Data Analytics and Management tool you need to get actionable insight.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With AI Surge Data Wrangling capabilities, you don\u2019t have to manually prepare your data, clean it up and create actionable reports that you can use to make decisions. Once you give the platform basic information in plain English, it will automatically normalize messy, unclean data into clean, tidy data. Data wrangling describes the process of preparing your data \u2014 anything from cleaning to transforming to visualizing. 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You can look for patterns, form a hypothesis, run a correlation analysis and then brainstorm on how to solve problems or even get a team together for the best results. There\u2019s no need to read through thousands of rows and graphs. The solution? Advanced data analytics platforms like AI Surge.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Actionable Analytics involves getting intelligent data that requires data quality, actionable insights, and presentation to make it easy for users to get value out of the information. The analysis is excellent, but if you can\u2019t present it in a way that the busy person in the business can understand, then what\u2019s the point?\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"That is the point of AI Surge. We make it easy for business users and analysts to use our advanced data analytics platforms. We use AI and machine learning to generate insights into your company, industry, or competitors. And we make sure that business users understand the analytics, so you have the information you need to make intelligent decisions.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The end goal is essential when considering taking action on the insights gathered. The goal is to gather insights on:\"\n    }), /*#__PURE__*/_jsxs(\"ul\", {\n      style: {\n        \"--framer-font-size\": \"16px\",\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgb(2, 2, 2)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"How businesses collect and use this data.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Whether this data is helping them make a real difference to their organization.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Why sharing data openly could help us all learn from each other\u2019s experiences.\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"What can we do differently when it comes to data and analytics.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"Actionable Analytics is the idea that data can be presented differently\"\n      }), \". \"]\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Instead of just displaying the data neatly and cleanly in a spreadsheet, data can be shown in a way that makes people want to act on it. There are tools like AI Surge that enable data to be explored visually and in real-time or near real-time. This opens new opportunities for business analysts to look back on historical performance and gather insights faster\", /*#__PURE__*/_jsx(\"strong\", {\n        children: \".\"\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"It would help if you had a dashboard with business-specific dashboards that is more actionable to transform your customer into an advocate.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Many companies will have this data lying around in systems that aren\u2019t that useful or don\u2019t easily allow a user to start taking action. The lack of raw data, relevant insights, and actionable analytics make this type of data frustrating.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The three aims of Actionable Analytics are:\"\n    }), /*#__PURE__*/_jsxs(\"ul\", {\n      style: {\n        \"--framer-font-size\": \"16px\",\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgb(2, 2, 2)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Gather actionable data\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Transform it into insights\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Make these insights accessible and actionable.\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"With AI Surge, you won\u2019t worry about expert insights drowning you in data. 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With quick insights and a small amount of work (which your team can be doing in parallel to getting the business back up and running), you will have the power of actionable analysis, enabling you to make fast decisions rather than slow ones based on factual information.\"\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"With actionable analytics, you can:\"\n      })\n    }), /*#__PURE__*/_jsxs(\"ul\", {\n      style: {\n        \"--framer-font-size\": \"16px\",\n        \"--framer-text-alignment\": \"left\",\n        \"--framer-text-color\": \"rgb(2, 2, 2)\",\n        \"--framer-text-transform\": \"none\"\n      },\n      children: [/*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Understand your customers\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Make smarter decisions\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Engage your customers better\"\n        })\n      }), /*#__PURE__*/_jsx(\"li\", {\n        \"data-preset-tag\": \"p\",\n        children: /*#__PURE__*/_jsx(\"p\", {\n          children: \"Predict future events\"\n        })\n      })]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"h2\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"Enjoying This Article?\"\n      })\n    }), /*#__PURE__*/_jsxs(\"h2\", {\n      children: [/*#__PURE__*/_jsx(\"br\", {}), \"Receive great content weekly with the \", /*#__PURE__*/_jsx(Link, {\n        href: {\n          webPageId: \"ZT6qzDMjF\"\n        },\n        openInNewTab: true,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"ai-surge cloud \"\n        })\n      }), \"Newsletter! \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://meetings-eu1.hubspot.com/raza\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Talk to our Low-code Data Fabric expert today!\"\n        })\n      })]\n    })]\n  }),\n  id: \"TF47zoeLO\",\n  J5QGOt2qn: {\n    alt: \"Intro to Actionable Analytics\",\n    src: new URL(\"https://framerusercontent.com/images/ygGT4pwz8I8j4E17UzLTMyeDmJE.jpg\").href\n  },\n  jThsuyri8: \"Edison\",\n  n1UuGlvYI: true,\n  n8oS593ZS: {\n    src: new URL(\"https://framerusercontent.com/images/TzHlRx6qhfnuTJ1BgW7ad8b18.svg\").href\n  },\n  U48Uzs3uQ: \"Data Analytics\",\n  vfDIXoFRA: \"#a8c7bf\",\n  W5qcwJgZZ: \"Introduction to Actionable Analytics\"\n}, {\n  AqSrYZkRk: \"making-data-science-accessible-to-everyone-working-smarter-not-harder\",\n  ChIDLP7g0: \"Access to real-time information has enormous potential to make you more effective in your job, help you gain more insight into how your business is performing, and better equip you to take action. 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That means fewer people can be out working in other areas of business operations without taking up valuable time at the end of the week with tedious data entry.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Modern businesses are more data-driven than ever, and mobility professionals are on the front lines of this data revolution. Unfortunately, most of today\u2019s enterprise mobility professionals spend far too much valuable time gathering business data (e.g., call logs, messaging data), uploading it to a central repository, formatting it for analysis, and then creating reports and dashboards that rarely get used or have a difficult time getting prioritized. 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Tools such as AI Surge, amongst many others, are making advanced analytics accessible to everyone in an easy-to-use package with virtually no tech requirements to learn deep insights. You don\u2019t have to be a master coder any longer.\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [/*#__PURE__*/_jsx(\"strong\", {\n        children: \"AI Surge is on a mission to make analytics accessible to everyone. Instead of hiring a team of data scientists, businesses can leverage no-code visualization and data analytics tools from Al Surge that are intuitive and scalable. AI Surge\u2019s data analytics platform\"\n      }), \" leverages Data Bricks delta lake and extends its capabilities with added features and functionalities. 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In search of answers, Data management is evolving. Today, Data Lakehouse is trending.\",\n  fdrdneEfZ: \"2020-12-07T00:00:00.000Z\",\n  fosXhL9qw: '\"No-Code\" Data Lakehouse is Trending, and AI-Surge is the Best Source. Our platform allows for data integration and predictive analytics without any coding required.',\n  gnb9HHEAL: /*#__PURE__*/_jsxs(React.Fragment, {\n    children: [/*#__PURE__*/_jsx(\"h2\", {\n      children: \"No-Code Data Lakehouse is Trending\"\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"You must have heard the term \u201CData is the new oil\u201D, but how do we mine, refine and get the best value from the most important asset to business growth and continuity? In search of answers, Data management is evolving. Today, \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/data-lakehousing\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Data Lakehouse\"\n        })\n      }), \" is trending.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Let us go back to the basics of \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"how we handled data\"\n        })\n      }), \"\u2013 Data Warehousing.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data warehousing was built basically for Business Intelligence and reporting but with no support for varied data types like video, and audio. No support for Data Science, Machine Learning, and limited support for real-time streaming.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"In Gartner\u2019s study, more than 50% of old data integration solutions based on Data Warehouses fail; and the bigger the spread of data across various systems and sources, the harder companies fail.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"As a result, most of the data is stored in data lakes and blob stores, and then a subset of this is stored in the data warehouses.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"strong\", {\n        children: \"blob is a data type that can store binary data. This is different than most other data types used in databases, such as integers, floating point numbers, characters, and strings, which store letters and numbers. Since blobs can store binary data, they can be used to store images or other multimedia files.\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Enterprises extract data and then load them into data warehouses for descriptive analytics. They became extremely popular 20 years back but they were not built to work with modern data use cases. Then came the emergence of Data Lakes.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"Data Warehouses was the response to the \u201Cdata silo crisis\u201D that showed up in the1990s. Then came the emergence of \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://ai-surge.cloud/what-is-big-data\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Big Data\"\n        })\n      }), \", Machine Learning, NoSQL, and ultimately Data Lakes.\"]\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"Data Lakes improved Data Warehouse architecture by adding the ability to store and analyze structured and unstructured data. Data Lakes were made to be faster by design, making them ideal tools for data scientists. But then Data Lakers presented new problems of its own. Security deficiency, lack of proper data governance, and Data Swamps made business users start to explore other possibilities.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"img\", {\n      alt: \"\",\n      className: \"framer-image\",\n      \"data-framer-asset\": \"data:framer/asset-reference,5zYZyF0CzMiaM7Bxv50G2I1qQM.jpg\",\n      \"data-framer-height\": \"999\",\n      \"data-framer-width\": \"1024\",\n      height: \"499\",\n      src: new URL(\"https://framerusercontent.com/images/5zYZyF0CzMiaM7Bxv50G2I1qQM.jpg\").href,\n      style: {\n        aspectRatio: \"1024 / 999\"\n      },\n      width: \"512\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: \"The idea of thinking of data as an ever-flowing river of events instead of thinking of it as a data island locked away in databases coupled with the rapid rise of real-time data activities birthed what is now known as the \u201CLakehouse paradigm: One platform for data warehousing and data science\u201D.\"\n    }), /*#__PURE__*/_jsx(\"p\", {\n      children: /*#__PURE__*/_jsx(\"br\", {\n        className: \"trailing-break\"\n      })\n    }), /*#__PURE__*/_jsxs(\"p\", {\n      children: [\"According to \", /*#__PURE__*/_jsx(Link, {\n        href: \"https://databricks.com\",\n        openInNewTab: false,\n        smoothScroll: false,\n        children: /*#__PURE__*/_jsx(\"a\", {\n          children: \"Databricks\"\n        })\n      }), \", A data lakehouse is a new data management paradigm that combines the capabilities of data lakes and data warehouses, enabling BI and ML on all data. 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