Actionable Hazard Insight
If claims data is the black-and-white information that drives property underwriting, then hazard data is the color that adds depth. Often used as a proxy for risk, hazard data yields decision-making insight by providing discrete information about the condition of a property that may impact its loss outcome.
Hazard data can provide clues about a property’s susceptibility to loss that wouldn’t otherwise be apparent in its historical loss experience.
Importance of High-quality Data
Jordan Byk, Senior Director of Product Management, discusses the importance of high-quality data.
Purpose-built Geocoding Data
Chris Sams, Senior Product Manager, discusses the importance of purpose-built geocoding data.
Quality Data at Speed
Oliver Smith, Senior Product Manager, discusses the importance of 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…
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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