Data Analytics

Among other things, big data allows for analysis of patterns of usage of internal systems, pinpointing possibilities for process improvements.

Despite what many think, the most important important issue isn't which model to choose, and the biggest challenge isn't technical.

When poorly performing doctors see comparisons with peers, corrected for the severity of cases, they initially fuss -- then improve.

If you wait until a manager spots a problem with data integrity, you've waited too long. The fix will be expensive.

This article is the first of a series on how the evolution of catastrophe models provides a foundation for much-needed innovation.

Issues indicating a workers' comp claim is becoming a major problem can be addressed in real time -- if the right systems are in place.

In workers' comp, data is too often used after the fact, in investigations. Data must be integrated early and used throughout the claims process.

Information asymmetry makes it difficult for insurers to determine who is a high-risk customer and who is low-risk, leading to rampant fraud.