Using Predictive Modeling in Group Insurance

Data Solutions

Articles
March 2015
5 minutes

Using Predictive Modeling in Group Insurance

Jeff Schuh

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 ˿��ƵAPP's research team to learn more about predictive modeling.

Download "Using Predictive Modeling in Group Insurance"

In the insurance industry, property and casualty reinsurers have been using predictive modeling (PM) for several years, but predictive modeling can also be used in group insurance.

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.

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Meet the Authors & Experts

Author

Jeff Schuh

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

References

Contact ˿��ƵAPP'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,

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