Knowing when a property has been updated is critical, as these changes can add new liability risks and insurance-to-value considerations.
Knowing a property's history, including changes in ownership and occupancy, is essential to paint a vivid picture of a property's condition.
With renovations increasing rapidly, the pressure to monitor property changes has increased to promote premium and ITV alignment.
By uncovering property change events during the policy life cycle, insurers can better understand their book of business.
Big data is critical to managing enterprisewide risk, but storing, managing, and processing it all poses significant challenges.
Competition and growing digital information sources demand that auto insurers balance underwriting data consumption with cost efficiency.
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.
Some life insurers are drawing closer to tapping electronic health record (EHR) data to underwrite, engage customers, and promote health.
Increasing speed is becoming the norm for auto insurance quotes, driving digital transformation and data-forward strategies.
Personal auto insurers had a year without precedent in 2020, and 2021 may break more new ground, but in very different ways.
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.
How can auto insurance leaders adapt and stay competitive amid evolving pandemic-related trends? The key may be a digital ecosystem.
Personal auto mileage has fluctuated widely through the pandemic and the emerging new normal. It may be time for insurers to leverage analytics to avoid premium leakage.
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