Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects.

From Excel to AI: How Reyes brought predictive modeling to beer distribution The lessons Reyes has learned so far provide a taste of what the technology can accomplish.

Predictive modeling replaces rules In rules-based analytics, you have to think of all the possible conditions upfront and build them into the rules engines in order to uncover problems.

Predictive modeling approaches in business process management provide a way to streamline operational business processes. For instance, they can warn decision makers about undesirable events that are ...

Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

Erika Glenn, Division Head of Sales, Care Management, CVS Health, addressed some of the latest innovations in predictive modeling and data analytics being leveraged by her organization in the ...

Predictive modeling is a common method of risk stratification, and although a number of predictive models have been developed for use in oncology care, they have rarely been tested alongside ...