Data Analytics

You can start to look at things like shared addresses, shared numbers and shared emails and see who is up to illegitimate activity.

Customers are acquiring insurance policies much faster and easier with the help of automated processes.

Many companies overlook the significant role that frontline employees will play in optimizing and adopting new big data techniques.

By 2030, automated underwriting will become the norm, and new sources of data may be incorporated into underwriting.

Predictive analytics hold enormous prospects, but is it just a magic trick? How will it really work?

There’s a gap between the wealth of data now available and insurers’ ability to quickly process, contextualize and derive insight from that data.

Some predictive models are “Rube Goldberg” constructs; the worst resemble “a bunch of monkeys heading up the Manhattan Project.”

New variables and trends that arise can easily lead you astray from the original question you set out to answer.