[Skip Global Navigation]

Insurance

Insurance Home

Minimize Claims Risk and Maximize Customer Value

In today's volatile market, insurance claim losses and unprofitable customer relationships can quickly overwhelm an insurance provider. To transform these potentially costly challenges into opportunities, many insurance companies are applying predictive analytics to their daily business operations.

SPSS predictive analytics solutions help insurance companies minimize claims risk and maximize customer value by integrating real-time analysis within their existing systems and processes. Predictive analytics makes it possible to take advantage of oftentimes underutilized data from every channel—Web data, claims data, textual data like notes from call centers—in closed-loop analysis that applies results to improve interactions. Empower agents, call center representatives, and other employees throughout your organization with the predictive insight to know what’s next, now. Transform data into applied customer insight with real-time predictive analytics that optimize customer interactions for the greatest mutual value while minimizing claims risk.


View the DM Review Online Seminar Archive:

Turn Your Customer Data into a Strategic Asset with Data Mining
Practical Tips for Maximizing Customer Value in the Insurance Industry>View Now


In the News: SPSS predictive analytics provide solutions to insurance companies by minimizing claims risk and enhancing customer relations

Corona Direct, Belgium's second largest insurance agency, recduces direct marketing costs and maintains revenue using SPSS predictive analytics.
>Read More


>More about SPSS customer growth solutions

>More insurance customer stories