Specifically, prescriptive analytics factors information about possible situations or scenarios, available resources, past performance, and current performance, and suggests a course of action or strategy. It can be used to make decisions on any time horizon, from immediate to long term.

What is an example of prescriptive analytics?

Prescriptive analytics goes beyond simply predicting options in the predictive model and actually suggests a range of prescribed actions and the potential outcomes of each action. ... Google's self-driving car, Waymo, is an example of prescriptive analytics in action.

Why is prescriptive analytics important?

Prescriptive analytics acknowledges that the market is fluid, so a flexible, scalable approach to modeling is necessary. By building off descriptive, diagnostic, and predictive analytics, prescriptive analytics applications take into consideration historical data and forecasting to give insight businesses need.