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Risk in context podcast: Adapting insurance programs to evolving risks through analytics-driven decisions

In this episode Marsh leaders 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.

In today's rapidly changing risk landscape, organizations are confronted with complex risks that can significantly impede their ability to achieve their strategic goals. The increasing frequency and severity of losses, coupled with catastrophic events, have heightened risk volatility, putting risk managers and senior leaders under increased pressure to make decisions that help them protect their organization and its assets.

Effectively navigating this evolving  risk environment requires businesses to 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. Data-grounded analysis helps senior leaders gain valuable insights to better understand how shifting risk dynamics may impact their operations, allowing them to more confidently align their insurance programs with their specific needs and evolving risk profile.

In this episode of Risk in Context, Richard Baudin, Leader of Marsh’s International Specialty Advisory Practice, talks with David Kraft, Head of Risk Analytics for Europe, Lauren Irwin, UK Retail Cyber Sub-Team Leader, and Claire Garrett, Head of Marsh’s Financial Institutions Practice in the UK. They 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.

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Key takeaways

Analytics help optimize insurance strategies

As the risk landscape changes and the insurance market shifts, data-based analytics programs help organizations understand and quantify their changing risk profile and identify changes to improve their insurance program and better align it to their evolving risk profile.

Data-based programs enable proactive decisions

As insurance rates change and risks evolve, organizations should consider regular data-grounded reviews of their risk transfer program, allowing them to be agile in making the necessary changes to remain resilient and responsive to an ever-changing risk environment.

Analytics facilitate the identification of risk management deficiencies

A robust analytics program can help organizations identify potential gaps and deficiencies in their risk management strategies and take action to improve them, which may, in turn, also impact their ability to secure adequate insurance coverage.

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