ISYS2056 Lecture Notes - Lecture 4: Predictive Analytics

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6 Aug 2018
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To facilitate the exploration of that data. To generate insights that can increase understanding, to inform decision making. Can make use of various tools and services. To revel patterns by presenting the data in particular wats. Communicate key information quickly and easily comprehensible format. Tools are now appearing which make it possible for non-specialists to create these. Involves displaying data sets in visual kinds of visualisations. Improve managers capacity for effective decision-making and planning. Descriptive analytics identify areas for attention or improvement. Prescriptive analytics discover how to increase revenues. Understand the data you are trying to visualise. Determine the message you want to communicate. Use a visual that conveys the information in the best and simplest form. Miniature charts that fit into a single cell. 3 different types, line ,column and win/loss. Win/loss similar to column, but shows if the value is positive or negative. Can display markers at important points eg: highest and lowest.

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