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 RGA Reinsurance Company 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.
Contact RGA's research team to learn more about predictive modelling.
Reprinted with permission of The Asia Insurance Review (AIR)