Predictive analytics, prescriptive analytics and the fairly recent offshoot-- discovery analytics-- can all support business decision making. Although the three tools are very similar in that they build off the same analytic foundation, the types of decisions they support are quite different. This one picture explains the differences between the three methods.
Predictive vs. Prescriptive Analytics: What’s the Difference?
Business Solutions & Big Data: Descriptive Analytics
Differences Between Predictive and Prescriptive Analytics
Self driving car image: Grendelkhan [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)]
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Predictive analytics in most cases is already *meant* to inform case-by-case actions — driving a decision by way of each per-individual predictive score. That is to say, it is already by design “prescriptive,” and introducing the term “prescriptive analytics” implies there is something significant beyond that introduced. Certainly there may be non-analytical business rules and other such tactics that “wrap” a predictive model for its deployment, but I would not say that introduces an entirely new field or technology by any means. See: https://www.predictiveanalyticsworld.com/machinelearningtimes/presc...
Posted 1 March 2021
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