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  • March 2015
  • 5 minutes

Using Predictive Modeling in Group Insurance

Predict Modeling Group
In Brief
This article presents challenges and opportunities in applying predictive modeling to group reinsurance and insurance. For a deeper look at this topic, please see: Predictive Analytics in Life Insurance: How to Get Real Results.  Contact RGA's research team to learn more about predictive modeling.
PM is best defined as a process by which current or historical data are used to create predictions about future events or behaviors. Predictive modeling is a process, not a product, and this article investigates challenges and opportunities in group insurance. 

  • See also: Predictive Modeling - A Life Underwriter's Primer and Predictive Modeling: Is It a Game Changer?
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    Meet the Authors & Experts

    Jeff Schuh

    Vice President and Actuary, U.S. Group LTD and CI, U.S. Group Reinsurance


    Contact RGA's research team to learn more about predictive modelling.

    Reprinted from Employee Benefit Plan Review, March 2015, with permission from Aspen Publishers, a WoltersKluwer Company,