Data Lake Maturity Model

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Three Types of Analytics Big data analysts often divide analytics into three types, each of increasing sophistication and power: Descriptive Descriptive analytics tell you what happened. They can say what your sales were last quarter or how much money you spent on repairs. Most organizations use analytics for this purpose. They are well served by traditional tools such as relational databases or even spreadsheets. Predictive Predictive analytics tell you what is likely to happen in the future. It suggests that, given previous trends, sales in one region are likely to rise, whereas in another region they will fall. This can require many new sources of data as well as advanced statistics. For instance, if you get demographic data showing that young families are moving out of neighborhood A into neighborhood B and you know that your product appeals to young families, predictive analytics tell you that sales will sag in neighborhood A while ramping up in neighborhood B. Clearly, predicting the future accurately will give you an insurmountable advantage over a competitor who fails to do so. Another exam‐ ple might be provided by a factory: you might take pictures of valves at different stages of decay and train the analytics to visu‐ ally recognize a valve that is on the verge of failure. You might spend six months collecting data about the behavior of valves and which valves fail; a predictive system would then advise the floor staff when a valve needs to be replaced. Prescriptive Prescriptive analytics go even further and make recommenda‐ tions such as new geographic locations for corporate services or which products to promote at certain times. Such analytics take time to build up and process the data. As your organization matures in its administration and use of a data lake, you can accurately create higher levels of analytics and make effective use of them to strengthen your business. Three Types of Analytics | 3

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