Exposure Data
Avoid mispricing and adverse risk selection before it happens with accurate exposure data.
eBook: An Insurance Underwriters' Guide
Identify, connect, and surface the right data to quickly inform the best decisions with Location Intelligence.
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.
Benefits
Validate Data with a Trusted Source
It’s important to trust property attributes are accurate, accessible, and fit for the purpose. The RMS ExposureSource Database (ESDB) records are validated with more than 300 heuristics to ensure data accuracy. Multiple source datasets are merged together to check for agreement and a dedicated team continually makes improvements.
Benchmark Building Valuations
RMS provides estimates of replacement cost structure value with upper and lower bounds, enabling you to detect possible under-insurance, identify data quality issues, and ensure appropriate policy coverage.
Enhance Automated Quoting
When it comes to automated quoting, oftentimes the insured does not have knowledge of building characteristics. The RMS ExposureSource Database (ESDB) provides insurers with the ability to fill in incomplete data, correct inaccurate entries, and enhance submissions in their risk management workflows.
Reduce Uncertainty with Reliable Data
Putting more and better attributes into a risk model leads to high confidence in 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.
Related Solutions
Resources
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 transformational phase where profit margins continue ...
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 and optimize capitalization. Detailed probabilisti...
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