Insurance Analytics: P&C Insurance Tech Priorities & Customer Satisfaction

This Week in Analytics: News

XL Catlin’s new CDO to pursue ‘disruptive data-related endeavors’, Workers’ Compensation: 10 more issues to watch for 2017, Why applied analytics projects have more success, More Insurers Adopting Predictive Analytics to Combat Fraud, Opinion: Insurers take big data velocity to heart

XL Catlin’s new CDO to pursue ‘disruptive data-related endeavors’

Insurance company XL Catlin last month named Dr. Henna A. Karna as its chief data officer. Karna joined XL after serving as both president of Verisk Digital Services, a unit of Verisk Analytics, and as actuarial CIO and managing director at AIG. Read the full article…

Workers’ Compensation: 10 more issues to watch for 2017

The first Out Front Ideas with Kimberly and Mark webinar of 2017 provided our thoughts on the 20 Workers’ Compensation Issues to Watch in 2017. In early January we discussed what we consider as the first 10 issues that workers’ comp professionals need to be aware of in the coming year. What follows is a summary of the remaining 10 issues we talked about. Read the full article…

Why applied analytics projects have more success

Having benefitted from listening to a CX leaders’ perspective on vision for data & analytics, let’s consider applied analytics projects. In fact, this focus is an opportunity to hear the voice of another key stakeholder in major analytics implementations. That is, the perspective of the software provider or IT supplier. Read the full article…

More Insurers Adopting Predictive Analytics to Combat Fraud

Declining cost barriers, the availability of cloud storage and telematics will likely increase predictive analytic adoption rates. Though predictive modeling has been used for some time to thwart fraud, it was mainly used by larger carriers before now. Read the full article…

Opinion: Insurers take big data velocity to heart

A friend of mine – a data scientist by profession – makes it a point to tell people simply that he is a “scientist,” period. “‘Data scientist’ is redundant,” he says, “because being a scientist is all about data.” The point is well taken, but that’s not stopping insurers from searching for “data scientists” – meaning people skilled in analyzing complex digital data to unlock business value – specifically. Read the full article…