Taking full advantage of the small commercial underwriting data around you could depend on filtering out the noise, then extracting meaningful insight for risk assessment and quoting. In this podcast, Verisk's Tracey Waller discusses how to cut through data noise.
As automated underwriting continues to grow, it's important to remember the importance of leveraging solid data and analytics quickly, with scale, and without compromising underwriting guidelines, notes Tracey Waller of Verisk in this exclusive podcast.
Data-first strategies have provided commercial lines underwriters with quick and easy access to large amounts of information on applicants. Ron Biederman of Verisk explains why that's leading to better underwriting decisions in this podcast.