Data Analytics

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.

Merely personalizing the subject line in emails can yield an open rate of up to 50% (the average being less than 18%). 

Previously inaccessible data on customer insights, producer management and renewal optimization can improve a carrier's or MGA’s topline growth by up to 30%.

Many companies aim to be data-driven, shifting decisions away from human actors and trusting the algorithms. Instead, firms should be "data-informed."