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

Predictive: A Data-driven organization goes through a maturity ladder in its analytics journey. It is important to know which type of analytics will help in what form.

Regardless, descriptive, predictive, and prescriptive analytics all play important roles in our organizations today. We don’t always need complex algorithms running on our data.

Descriptive, predictive and prescriptive analytics all work together to create a high-quality customer experience.

Depending on the stage of the workflow and the requirement of data analysis, there are three main kinds of data driven marketing analytics – descriptive, predictive and prescriptive.

3. Prescriptive analytics is what I think about on long walks. This is often where cause-effect analysis meets the real world. We mask this as "testing" in the marketing world.

Add to descriptive analytics, predictive analytics and prescriptive analytics, a fourth category, automated analytics, writes CIO Journal Columnist Thomas H. Davenport. While systems that take ...

As a type of data analysis, prescriptive analytics helps businesses make better decisions by taking into account raw data and analyzing it. Prescriptive analytics examine decisions and outcomes during ...

In the context of manufacturing, a control chart is descriptive; a logistic regression to predict machine failure is predictive; a scheduling algorithm to minimize changeover cost is prescriptive.