Increase Exposure Accuracy
Exposure data plays a key role in business decisions at the location, account, and portfolio level. In cat perils such as flood, wildfire, and terrorism, seemingly small differences in exposure detail can result in large differences in modeled loss. Remaining competitive in today’s market does not allow for exposure data inaccuracies. RMS offers solutions to verify every submission.
It’s important to trust a property is accurate, accessible, and fit for the purpose. The RMS ExposureSource database pressure tests every record with more than 300 validation heuristics to ensure accuracy. Multiple datasets are merged together to check for agreement, and a dedicated team continually makes improvements.
RMS provides estimates of replacement cost structure value with upper and lower bounds, enabling you to detect possible underinsurance, identify data quality issues before they become problems, and ensure appropriate policy coverage.
Enhanced Automated Quoting
When it comes to automated quoting, requiring less data input leads to better hit ratios. The RMS ExposureSource database fills in incomplete data, corrects inaccurate entries, and enhances submissions in a fully automated workflow.
Raising the Bar
Putting more and better attributes into a risk model leads to better results with lower uncertainty. Complete data on every location enables the usage of advanced, high-value secondary modifiers such as cladding, roofing, and foundation details. With the RMS ExposureSource database, you can raise the bar on your modeling and risk selection efforts.
The Data Difference
The value of data as a driver of business decisions has grown exponentially as the importance of generating sustainable underwriting profit becomes the primary focus for companies in response to recent diminished investment yields. Increased risk selection scrutiny is more important than ever to maintain underwriting margins. High-caliber, insightful risk data is critical for the data analytics that support each risk decision The insurance industry is in a…
Underwriting With 20:20 Vision
Risk data delivered to underwriting platforms via application programming interfaces (API) is bringing granular exposure information and model insights to high-volume risks The insurance industry boasts some of the most sophisticated modeling capabilities in the world. And yet the average property underwriter does not have access to the kind of predictive tools that carriers use at a portfolio level to manage risk aggregation, streamline reinsurance buying…
RMS Data for Underwriting
Carriers want to write better risks, reduce underwriting frictional expense, and build consistency within their portfolios. RMS® Data for Underwriting is a rapidly expanding suite of data delivered instantly at the point of underwriting.
Join Us at Exceedance 2021