Data Analytics

There is one common thread: Organizations must understand where data is located, the context of the data and if it is at risk.

Forward-thinking insurance agencies are ready to put AI to work, but for many, the data just isn’t up to the challenge.

Customers now have a number of ways to discover, research and purchase policies, so the customer journey has become less linear.

The traditional business model has been resilient, but insurers must strive to exceed the evolving expectations of customers.

A well-crafted strategy must be rooted in business goals, driven by updated processes and systems and supported by sound data management.

The promised land of all those tech investments has yet to be reached. New thinking is needed, to produce an ever-evolving ecosystem. 

Embedded insurance, customer-facing digital tools, telematics and the IoT, rich data sets and AI and ML will mark a paradigm shift.

Major storms are moving northward, staying strong longer and expanding into areas previously considered less at risk.