Skip to Main Content

Knowledge Center

Predictive Modeling

Using Predictive Modeling in Group Insurance

Predict Modeling Group 2

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. 

  • See also: Predictive Modeling - A Life Underwriter's Primer and Predictive Modeling: Is It a Game Changer?
    • 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, www.aspenpublishers.com.


    Download "Using Predictive Modeling in Group Insurance"

    The Author

    • Jeff Schuh
      FSA, MAAA, ACIA
      Vice President and Actuary
      Group LTD and CI
      U.S. Group Reinsurance
      Send email >

    Summary

    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.

    Related Stories

    Download "Using Predictive Modeling in Group Insurance"
    • actuarial
    • big data
    • credit data
    • data science
    • DriverRisk score
    • Electronic Health Records
    • Group Life
    • group re
    • Jeff Schuh
    • motor vehicle data
    • MVR score
    • persistency
    • predictive analytics
    • predictive model
    • predictive modeling
    • prescription data
    • Rx score
    • worksite
    • worksite benefit trends