Most Property Data Is Wrong. Here’s What That Means for Insurers | Jon Francis of Chimnie
About this episode
Jon Francis discusses the importance of high-quality data in property insurance underwriting.
In this episode of Making Risk Flow: Exploring the Ecosystem, host Jake Harding speaks with Jon Francis, Chief Product Officer at Chimnie, about why the future of property insurance underwriting depends on transparent, high-quality data. Jon explains how flawed or overly averaged property data can distort rebuild cost models, misprice risk, and ultimately drive adverse selection across insurance portfolios. He outlines practical methods for validating external data providers at scale, includi...
More episodes of Making Risk Flow | The Future of Insurance
- Risk, Reimagined: 11 Experts on Turning Data into Decisions
- The Iteration Trap: Why 'Improving' Your Underwriting is Killing Your Growth | Bryan Falchuk
- Beyond CVSS: The New Cyber Underwriting Playbook | Jay Wallace of VulnCheck
- The Broker Edge in an AI-Driven Insurance Market | Nicolas Zerbib of Stonepoint Capital
- Beyond Postcodes: Mapping True Exposure | Nick Franz of Altitude Intelligence
- Automating Risk Workflows End-to-End to Eliminate Friction | Sam Lewis of Cytora
Explore listener stats, chart rankings, contacts and more on the Making Risk Flow | The Future of Insurance podcast page.