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Poor boundary data can sting re/insurers


Re/insurers risk under-charging for certain perils and getting stung by higher than expected claims if they base the assumptions in their catastrophe models on inaccurate or outdated data.

GfK, risk models, webinar, Intelligent Insurer

Intelligent Insurer

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