SPSS Business Solutions | Fraud Detection and Prevention

Support Anti-money-laundering Efforts

Governments around the world are increasingly requiring financial institutions of all types to help control money laundering, or face severe penalties.

If your organization falls under this mandate, you need tools to help spot possible money laundering efficiently and with minimal disruption to normal customer interactions.

Predictive analytics solutions from SPSS Inc. offer the sophisticated pattern recognition, anomaly detection, predictive modeling, and risk analysis capabilities required to detect attempted money laundering successfully. With our solutions, financial institutions can:

Build profiles of past account activity
Create peer groups of similar accounts
Identify when activities do not fall within the normal range for such profiles or peer groups
Limit “false positives” by using risk-based weighting techniques
Pinpoint suspicious activity and take prompt and appropriate action

These solutions also can help detect terrorist financing, which differs in some respects from the money laundering that criminal organizations engage in.

SPSS solutions are scalable to large amounts of data and use open architectures that interoperate with other systems. This enables you to deploy results or entire models both to automated systems and to your investigative staff.

An additional advantage of SPSS solutions is that they feed information about outcomes back into your predictive models. This enables your organization to continually adapt models to changing patterns in the behavior of those engaged in money laundering or terrorist financing.

Learn more about how predictive analytics help organizations improve their effectiveness.

And see how SPSS data mining, text mining, survey research, and statistical technologies aid in fraud detection and prevention.

Read customer stories and white papers describing SPSS solutions combat fraud, waste, and abuse.