Adapting insurance programs to evolving risks through analytics-driven decisions
Description
The increasing frequency and severity of losses have heightened risk volatility, requiring organizations to take a data-driven approach to analyze and quantify their risks and implement a robust insurance program that not only provides necessary protection, but also aligns with their unique risk appetite and minimizes their total cost of risk.
In this episode of Risk in Context, Marsh’s Richard Baudin, David Kraft, Lauren Irwin, and Claire Garrett discuss how data-focused analysis can help organizations gain a comprehensive understanding of how the evolving risk landscape can impact their organization and help them build more responsive insurance programs.
You can access a transcript of the episode here.
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