Data Analytics

Insurers used to have to measure precisely, collect only samples and know exactly what they were looking for. No longer.

Having multiple databases can harm the data’s integrity and result in redundant work or even reduce consumer satisfaction.

The consumer experience is a funnel, and personalization can be applied to each touch-point in the funnel.

When it comes to your IT and data strategies, are they #same or are they #goals? You need to be careful.

The way insurers manage data and leverage analytics capabilities is improving slowly, but steady progress is being made.

Putting models into production is the fun part -- but requires not only testing but also a plan for monitoring and updating as time goes on.

It would be wonderful if we could simply plug the data into the right model and let it run. Unfortunately, there is no one right model.

Two steps are extremely critical for project success, and they illustrate why data analytics is more complex than many insurers realize.