Predictive Analytics

Obtaining loss histories can be problematic. But there are ways to get them easily, get a faster speed to quote, improve agency relationships, and improve your…

Drones are expected to have a $6.8 billion impact on the insurance industry.

Looking ahead at the 2017 Atlantic hurricane season, which began June 1 and ends November 30.

For insurers developing UBI programs or considering this market, the journey begins with usable data—and the Verisk Data Exchange has it.

Behavioral data and predictive analytics could render proxies obsolete in underwriting, pricing, and reducing insurance risk.

Insurance roundtable panel: Big data, mobile technology, and other emerging trends are changing the nature of property inspections.

While insurance pricing and product managers may not intentionally compromise risk management, there may be gaps due to the accuracy of their roof age data.

The list recognizes companies that investors expect to be innovative now and in the future. Verisk Analytics joins Tesla, Salesforce, Amazon, and Netflix among the top…

Case study: Validating coverage for undisclosed drivers stems premium leakage

Wind and hail represent the highest loss cost for property insurers, and the age of a roof is highly correlated with the frequency and severity of claims.

Enhanced underwriting practices required in response to emerging technology trends, tight competition, fraud risk.

Verisk GarageConfirm leverages more than 4 billion records in license plate database to help insurers identify and combat garaging fraud.

Improve underwriting decisions with data on claims events that may have affected a residence but were never claimed by the property owners.

Many insurers have significant potential to generate lift by aligning rates more closely with underlying risk levels.

When it comes to liability claims, managers want fast, fair, and consistent resolutions that keep loss costs under control.