Underwriting cat-exposed property is a high-stakes game that demands the most accurate measurement of location-level exposure and risk. There are many data sources but few offer real insight. Quick and intuitive insights based on RMS science is the solution the industry has been looking for. Disconnected Views of Risk When evaluating and pricing risk, underwriters are too often forced to use inferior datasets that don’t correspond to metrics used when those risks flow through to the bound portfolio. Consistent View of Risk RMS Data and analytics come directly from our industry-leading models. Allowing underwriters to use this as decision-making criteria provides consistency between decisions made at the point of underwriting with downstream portfolio...more Slow and Unintuitive Analytics Having to rely on their peers to generate and present the analytics they need to make important risk decisions leaves underwriters at a competitive disadvantage while putting strain on overworked support teams. Self-Serve Analytics, Fast RMS Data, and the analytics that leverage this data, serves the analytics underwriter's need in sub-second times. Risk decision-makers can make more informed decisions by accessing the right analytics at the right time. Patchwork of Data Risk profiling frequently entails significant legwork to assemble data piecemeal – different providers with inconsistent metrics that are hard to combine. All Hazards in One Place Whether you need to evaluate wildfire risk in California, flood risk in the United Kingdom, or earthquake risk in New Zealand, RMS provides this in a single API call or through an application designed and developed for underwriters. Related Information: Technology: The Springboard To Innovative... Market-Leading Data Solutions Underwriting We use cookies to improve user experience and site performance, offer advertising tailored to your interests and enable social media sharing. Learn more Cookies Settings Accept All Cookies