Case Study: RSA Canada achieves more accurate premium pricing and improved profitability with SAS

RSA Canada - Customer Case Study

RSA Canada, a group of six insurers managing roughly $3 billion in annual premiums, relies on a 60-person actuarial team to ensure premiums accurately reflect risk so policies remain profitable and compliant with filing requirements. The company faced the challenge of predicting how multiple risk characteristics and changing exposures (from data pooled across four systems and more than five terabytes) would affect premiums and identifying which customer segments to grow or shrink.

By consolidating data into a single SAS-powered environment and using SAS generalized linear modeling, SAS Visual Analytics and SAS Office Analytics, RSA Canada can re-rate, forecast and monitor its portfolio, add new risk factors (for example, weather-related water damage), and run segmentation analyses without heavy coding. The result is more accurate pricing, better regulatory support, clearer identification of high- and low-profit segments, and improved IT resource monitoring and efficiency.

RSA Canada

Kathy Kim

Director of Actuarial Systems