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They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Tableau, Qlik and Power BI can handle interactive dashboards and visualizations. This article reflects some of what Ive learned. And guess what?
Cognitive analytics is basically the opposite of descriptiveanalytics. In descriptiveanalytics, the task is to find answers to predetermined business questions (how much, how many, how often, who, where, when), whereas cognitive analytics is tasked with finding the business questions that should be asked.
IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ). The next step leads to performing exploratory, descriptiveanalytics, “why is this happening,” and so on.
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Descriptive Analytics 
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