Understanding Credit-Based Insurance Scores and Their Predictive Power
Insurers continue to rely on the predictive power of credit-based insurance scores (CBIS) for risk-based pricing in response to a fast-changing insurance landscape.
As insurance risk continues to evolve, understanding the use of CBIS has become increasingly important. In this podcast, Gary Sanginario, associate vice president of product management, and Prasanth Kambhatla, associate vice president of data science, both experts at LexisNexis Risk Solutions, take a look at CBIS, including its history and how it continues to benefit both insurers and consumers.
You’ll also hear:
- How CBIS helps predict a consumer’s risk and how insurers leverage it to predict future insurance losses.
- Details about comprehensive studies conducted to address concerns about unfair bias based on race and ethnicity.
- About the testing framework employed by LexisNexis Risk Solutions, how the framework leverages well-established methodologies, and key takeaways from quantitative testing.