Nearly four-fifths of risk managers polled by Marsh said that their organizations need more thorough information about risks to benefit fully from analytics. Without complete, high-quality data about property risks, catastrophe models "will default to cautious assumptions that can distort underwriting perception, inflate premiums and reduce available capacity," said Ryan Barber of Marsh.

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