Data Analytics

Predictive modeling is but an early step; we must see beyond the fleeting ability to increase underwriting profit or fast-track a claim process.

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

You may think it's IT's job to avoid falling for attractiveness, but soon the majority of IT spending will be the responsibility of others.

Atidot finds surprising correlations: For instance, customers who pay on the 14th are less valuable than those who pay on the first.

Data scientists and business users of data need help as they translate their efforts and needs for each other. There are some good tools.

Despite big opportunities, big data has thus far been more of a big dilemma, especially for healthcare institutions. Here is a new approach.

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

Changing customer behaviors, non-traditional competition and operational constraints put many traditional insurance companies at risk.