Are you deriving the maximum possible return from your analytics? Would you know if you weren’t? A new ISO and Earnix survey on analytic practices by property/casualty…
Data-driven, big data. Knowledge worker, knowledge management. Information economy, information age. Such terms are tossed around all the time, but what do they really…
An updated Verisk analysis shows that the elevated auto claim frequency and severity that emerged in 2014 and continued into 2015 did not subside in 2016.
Since April 2011, Verisk’s ISO field analysts have collected enhanced wind rating data from building surveys, including information on more than 40 characteristics…
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.
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.