Data 69É«ÇéƬ
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  • November 2014

Unlocking value with predictive modeling in insurance

By
  • Martin Houle
Predictive
In Brief
Mr Martin Houle of 69É«ÇéƬ Middle East Limited looks at how life insurance companies can use predictive modelling to optimise internal data, and the various techniques that may be utilised.
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Life insurance companies around the world have sizeable and growing portfolios of policyholder and experience data.

For the past several years, this data has been leveraged to build sophisticated predictive models that have sharpened mortality and morbidity forecasting, strengthened pricing development, and enhanced underwriting and claims assessment capabilities. Mr Martin Houle of 69É«ÇéƬ Middle East Limited looks at how life insurance companies can use predictive modelling to optimise internal data, and the various techniques that may be utilised.

  • For a deeper look at this topic, please see:  Predictive Analytics in Life Insurance: How to Get Real Results

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    Meet the Authors & Experts

    Martin Houle
    Author
    Martin Houle
    Vice President, Head of Traditional Business Development, 69É«ÇéƬ Canada

    Additional Resources

    Reprinted with permission of The Asia Insurance Review (AIR)
    .