Data Analytics

Insurers now wear their culture on their sleeves. They show whether they care about their customers by the ease of the customer journey.

The next generation of insurers must look beyond traditional attributes and embrace new forms of data and analytics, including contextual, behavioral and motivational data.

In developing technology solutions, one of the most overlooked and critical elements of delivering value to end users is empathy -- truly understanding their pain points. 

The employee-oriented job market is putting a strain on insurance IT departments, because over half are having difficulty hiring and retaining tech staffers.

In today’s complex risk landscape, spreadsheets can no longer carry their weight. They create administrative burdens and introduce the possibility of human error. 

Most insurers focus too much on the technical issues related to data and too little on the more strategic aspects, especially on embedding analytics into workflows. 

Despite a decade of digital transformation, the insurance ownership gap is widening across the industry and productivity has been flat. Here's why....

Evidence of the cloud's inherent strengths continues to accumulate, just as the perceived drawbacks and limitations of cloud technology are waning.