What data quality metrics should small commercial insurers focus on? Here's what you need to know.
Personal lines insurers seek fast quoting for better customer experiences (CX), but they also need rigorous cost and underwriting controls.
Automated underwriting can help homeowners insurers be thorough, consistent, and fast with timely, actionable data and analytics.
Life insurance growth could benefit from attacking barriers tied to chronic illness, and wearable technology and data to help overcome them.
Verisk is using image analytics technology to extract meaningful insights from images to help streamline small commercial underwriting.
Some life insurers are drawing closer to tapping electronic health record (EHR) data to underwrite, engage customers, and promote health.
Undisclosed drivers cause the most premium leakage in auto insurance, but data across the policy life cycle can help tackle the problem.
For insurers, validating correct lienholder information on loss payable and mortgagee clauses can be a long and cumbersome process.
While pet insurance penetration remains relatively low in the U.S., the market has grown substantially over the last few years.
Life insurers need to better grasp human health metrics to see the challenges and opportunities surrounding chronic disease and healthspan.
Small commercial insurance data needs to be clean, relevant, and insightful to support streamlined underwriting without the noise.
The cost of motor vehicle reports (MVRs) continues to climb for insurers; the latest Verisk analysis shows the nationwide average at $10.32.
Auto insurers seeking to grow and improve may do well to pursue underwriting technology that meets the demands of today and tomorrow.
Verisk's High-Risk Notification Service helps identify conditions that can trigger unexpected claims.
Underwriting expenses can force auto and property insurers to choose between high costs that drain profitability and incomplete risk data.
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