Prescriptive analytics, as the name suggests, prescribes a specific course of action based on a descriptive, diagnostic, or predictive analysis, though typically the latter.

In customer experience, descriptive analytics can be used to track things like total tickets and resolutions. They can be especially helpful in tracking trends to help plan for the future.

Prescriptive analytics also goes one step beyond what is referred to as “predictive analytics,” which takes your current analytics models and makes the best guess at what will happen next.

While descriptive analytics is the foundational form of data analytics, there are three other key types that are used in many organizations today: diagnostic, predictive, and prescriptive.

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The new analytics mandate is descriptive, predictive and prescriptive in context. When I meet with CIOs or executive sponsors, one of the first things I do is map out their analytics maturity curve.

Predictive analytics works in conjunction with prescriptive analytics, as the two data analytics technologies work synergistically together. “Predictive analytics can be used to improve ...

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Finally, prescriptive analytics enters the picture, synthesizing the insights from the descriptive, diagnostic and predictive phases. It uses advanced algorithms often powered by machine learning ...

“In general, if you aren’t talking about predictive analytics, you’re talking about descriptive or prescriptive analytics,” said Jerod Johnson, Senior Technology Evangelist, CData.