Case Study

Improved predictive underwriting for a life insurance provider

Case Studies / Insurance / Predictive Underwriting

An existing predictive underwriting solution at a large global life insurance provider was not performing up to expectations and needed to be replaced with a better performing solution.


Opportunity


Our goal was to develop a replacement model to make automated rating decisions and mimic underwriters’ decisions with the existing data and infrastructure constraints.

Qrosswalk®


Instead of only identifying low risk applicants, we modified the analytical framework to minimize cost of misclassification. Learnings from advanced modeling techniques were used to build a generalized linear model that could be implemented in client’s technical environment.

Value Delivered


Transparency in the modeling solution led to higher acceptability by underwriters and the business. -. Once the model was implemented, the client saw an 8-10% improvement in mortality slippage (and doubled volume at the same level slippage).

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