How to Choose Third-Party Data With Predictive Power to Boost Your Results

April 16, 2019 by Kirstin Marr

This is the sixth in a series of articles by Valen Analytics looking at the hurdles that insurers must overcome to effectively implement and gain value from data analytics programs.

Executive Summary

Third-party data providers are abundant, but how do you decide which ones merit investments of money and resources? Here, Kirstin Marr of Valen Analytics identifies two types of external data—transactional and behavioral—as she gives advice to answer the question and outlines an approach for combining internal and external data sources with synthetic variables for better predictive horsepower.

Executive SummaryThird-party data providers are abundant, but how do you decide which ones merit investments of money and resources? Here, Kirstin Marr of Valen Analytics identifies two types of external data—transactional and behavioral—as she gives advice to answer the question and outlines an approach for combining internal and external data sources with synthetic variables for better predictive horsepower. Making better decisions at a quicker pace is a sought-after advantage in today’s hyper-competitive P/C market. Insurers that have historically relied on their in-house data and manual processes to assess risk are beginning to discover the value of third-party behavioral and transactional data sources.