(Re)thinking Insurance - Series 4: Episode 14
In this episode of the (Re)thinking Insurance podcast, Scott Gibson is joined by Laura Doddington and Lauren Finnis to explore advanced analytics in the insurance industry. They discuss findings from WTW's recent advanced analytics survey, highlighting how nearly 50 North American P&C insurers are leveraging analytics.
Despite strong leadership commitment, progress has stagnated since 2021 due to IT bottlenecks and data challenges. The discussion covers practical applications of machine learning in document processing and risk assessment, and identifies areas where analytics can enhance operations, such as claims management and distribution strategies. The speakers emphasize the need for a clear roadmap, robust data infrastructure, and collaboration between analytics and business teams, underscoring the importance of sustained effort and strategic planning to fully integrate analytics into organizational culture.
Transcript for this episode:
LAUREN FINNIS: If a leader is going to talk about building an analytically-driven organization, that's got to be often and permeate throughout the organization at every single level and never really stop. It's not a point in time, we're going to do analytics tomorrow, and it's done. It's a long, consistent journey.
SPEAKER: You're listening to (Re)thinking Insurance, a podcast series from WTW, where we discuss the issues facing P&C, life, and composite insurers around the globe, as well as exploring the latest tools, techniques, and innovations that will help you rethink insurance.
SCOTT GIBSON: Hi, everyone. Welcome to this edition of the (Re)thinking Insurance podcast. Today, we're going to be talking advanced analytics. My name is Scott Gibson. I'll be your host. I am a director with WTW, and along with me are two experts in this field. We have Lauren Finnis, who's the North American Leader for Commercial Lines, as well as Laura Doddington, who is the North America Leader for Personal Lines. Hello, Lauren.
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