LightSpeed

Property/casualty insurers’ net income and overall profitability both declined in the first nine months of 2014.

Prevent fraud; ensure a more complete, accurate application; and identify high-quality insurance applicants early in the quote phase.

Vehicle module for liability offers new liability symbols and components in finer detail down to the vehicle level, not just the vehicle series level.

Verisk Commercial Auto Prefill provides underwriting insight on owners of registered vehicles, commercial vs personal ownership, and household exposures.

Insurers’ profits and profitability slipped in first-quarter 2014 as underwriting results deteriorated.

Policyholder driving violation information is an important part of auto underwriting, but the high expense requires insurers to think outside the box.

By collecting and using data from multiple sources, insurers can segment risks to develop profitable, competitive insurance policies.

Industry estimates put total auto insurance losses due to fraud and rate evasion between $12 billion and $24 billion annually.

Inovatus, LLC, Alpharetta, Georgia. is now part of Verisk Insurance Solutions, bringing proprietary predictive models that improve insurance underwriting and rating.

If a car is involved in an accident while used in a car- or ride-sharing arrangement, who pays?

Verisk Analytics shares insights from the IAA on the insurance auction process, title issues for total loss and recovered theft vehicles.

Quality Planning Corporation has been part of Verisk Analytics since 2004. Verisk is now formally integrating the QPC suite of services into Verisk Insurance Solutions.

Benchmarking analytics, when done right, uses the power of aggregated industry underwriting data for insurer growth and differentiation.

Verisk’s QuickFill prefill application tool enables insurers to respond to change by understanding customer-specific circumstances.

Insurance companies have been busy in recent years developing various mobile apps, such as bill pay and claim reporting.