Case Study

Improving risk exposure accuracy for a leading property and casualty insurer by 40%

Improving risk exposure accuracy for a leading property and casualty insurer by 40%

Pages 4 Pages

Client A Fortune 500 insurer, with a leading property and casualty business Industry Insurance and financial services Offering Design, application development, consulting, data and analytics, Pega services Abstract The increase in catastrophe events, from hurricanes and floods to earthquakes and oil spills, is an area of concern for property and casualty (P&C) insurers. Inaccurate or delayed pricing of property risk for catastrophe (CAT)

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