Data Analytics

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.

Metadata does not just represent an arduous maintenance task; it can be a gold mine of opportunity and time-saving.

Social media data analytics can lead to greater sales, lower claims and increased customer satisfaction.

Bad valuations cost underwriters $7 billion a year on business interruption insurance -- but third-party data can end the problem.

There is nothing worse than moving your business full-speed ahead in the wrong direction based on faulty analysis.

In a world of confusing, unstructured data, do location coordinates provide an anchor for all the new information becoming available?

The details of exploratory analysis can be tedious, yet they are the crux of the genius involved in data science project methodology.