John Johansen

How is your insurance company instrumented? Could you make money if you learned something in five minutes instead of five weeks?

Here are four ways to make sure you don't fall into common traps and make hasty decisions based on bad data.

The difference between decisions yesterday and in the future are like the difference between a handwritten description and a hologram.

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

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.

Consumers will no longer be at a data disadvantage; they will be able to test brand promises -- and insurers must be ready to react.

How can insurers compete when everyone has the same data? Here are three potential differentiators.

It used to be that companies could develop proprietary information and, thus, a sustainable competitive advantage. Not for long.

All too often, we think we're using data to develop a product, but all we've done is build a model to validate our biases.

Insurers must follow the lead of airlines and retailers and use quote data to fine-tune prices and features based on each customer's situation.

Instead of having data gathering and analytics strewn all over, there will be one location for warehousing and one central source for analytics.

Analytics is housed in a wide variety of places inside carriers -- but where it is now isn't necessarily where it is going to end up.