SPSS Business Solutions | Fraud Detection and Prevention

Combat Fraud with Predictive Analytics

Every year, fraud and wasteful or dishonest activities cost businesses and government agencies hundreds of billions in lost or misused funds. So detecting and preventing such activities is critically important to both private- and public-sector organizations.

Predictive analytics solutions from SPSS Inc. help organizations succeed in combating fraud, waste, and abuse. For example, our solutions enable organizations to:

Maximize tax revenues
Manage compliance issues and detect improper payments
Support anti-money-laundering efforts
Combat other forms of fraud, waste, and abuse

SPSS solutions use advanced statistical and data mining techniques to detect patterns and anomalies and generate predictive models that identify activities worth investigating. Our solutions use open architectures that interact with a wide variety of data sources and information systems. This means you can access any type of data and then deliver predictions and recommendations both to your organization’s automated systems and your decision makers, helping detect and minimize the impact of fraud, waste, and abuse.

If you’re in business, this will lead to a healthier bottom line. If you’re in government, it will enable you to continue delivering essential programs and services.

Learn more about how predictive analytics help organizations fight fraud.

And see how SPSS data mining and statistical technologies aid in fraud detection and prevention.

You can also read customer stories and white papers describing the fraud-fighting capabilities of SPSS solutions.