Valen Analytics News

No Workers’ Compensation Loss History? No Problem, Says Valen Analytics

Workers’ compensation carriers can now accurately score a policy even where there is no loss history on the account, according Valen Analytics, a data analytics and predictive modeling firm for the property/casualty insurance industry. Valen has released the latest in …

Valen Analytics in Colorado Names Marr President

Denver, Colo.-based Valen Analytics has named Kirstin Marr president of the firm. Dax Craig, who was Valen’s president and CEO since co-founding the company in 2004, will remain with Valen in an advisory role. Marr led growth and marketing initiatives …

Insurity Acquires Valen Analytics

Valen Analytics has been acquired by Insurity, a Connecticut-based company that supplies software, data processing and analytics for property/casualty insurers. Neither side disclosed financial terms. Valen is perhaps best known for its InsureRight Platform and its predictive analytic products designed …

Valen Analytics Releases Risk Scoring Model for Commercial Auto Insurers

Valen Analytics, a provider of proprietary data, analytics and predictive modeling for property and casualty insurers, has launched Risk Score for commercial auto insurance within its InsureRight Platform. The predictive models offer underwriters the ability to look into risk selection …

Expert: How Payroll Misclassification Impacts California Workers’ Comp

Premium misclassification or payroll misclassification is a significant issue for the workers’ compensation industry, according to Bret Shroyer, a solutions architect for Denver, Colo.-based Valen Analytics. Shroyer estimates that roughly $22 billion of payroll is misclassified each year, and the …

Google Compare May Go Beyond Auto Insurance

The way Valen Analytics President and CEO Dax Craig describes it, Google’s move into insurance with Google Compare for auto insurance is an “all-aboard, wake-up-and-smell-the-coffee” call to the insurance industry. His words were simpler: “Game changer.” The complexity of what …