Fast-Read Catastrophe Insights
An RMS RiskScore concisely captures the science of modeling by expressing risk as a 1 to 10 score with clear definitions for each value to assist with underwriting. Based on industry-leading risk models that are grounded in today’s reality, an RMS RiskScore delivers scientific insight calibrated on billions of dollars of historical claims to capture tomorrow’s risk.
RMS pre-compiles its cat simulations into risk scores for every significant combination of exposure characteristic (construction, height, year built, and others) to provide instant insight into a risk’s damage potential at key return periods. For example: a 100-year earthquake risk score of 8 corresponds to 30-40 percent damage, enabling quick decisions about whether to decline, quote, or refer.
Accurate, Holistic Scoring
For years, the industry has relied on deficient hazard-only scores that failed to distinguish different types of building construction and ages. RMS RiskScore reflects these differentiations, enabling better decision-making at the point of underwriting.
For events like flood and wildfire, where small differences in location can translate to large differences in loss, precision counts. RMS provides the resolution needed to stay ahead in today’s competitive market.
Risk differentiation is a critical underwriting discipline. Given 10 locations in a single neighborhood that look the same on paper, some will score very differently using an RMS RiskScore. Based on hazard, vulnerability, and precise site conditions, the scores provide deep insight into location-level catastrophe risk to drive better risk management and avoid adverse selection.
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…
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