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. Moody's RMS offers solutions to verify every submission.
Importance of High-quality Data
Purpose-built Geocoding Data
Quality Data at Speed
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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