Project:  Implementing Credit Scoring and Fraud Detection

A Dutch market leader in issuing credit cards wanted to improve the effectiveness and efficiency of the credit card application process. The Customer asked Crystalloids to help them to reduce the credit risk and increase the fraud detection of all credit card applications.

Crystalloids implemented a real-time scoring solution of SPSS, called SPSS Risk Control Builder, that evaluates each credit card application on credit risk. Next to credit risk the system also evaluates each credit card application on the chance that the application is fraudulent. Both, the score cards for credit risk and the fraud detection model were developed using Predictive Analytics of SPSS called PASW Modeler (SPSS Clementine).

This solution enables our Customer to standardize and optimize acceptance criteria, minimize credit loss, enable central monitoring, enable maximum transparency and detect fraudulent credit card applications at the start of the credit card application process. All benefits to improve their effectiveness and efficiency.

Branche: Finance & Insurance
Based in: The Netherlands
Company size: 400+ FTE (in 2009)


Project:  Implementing Fraud Detection

A large Dutch insurance wanted to improve the effectiveness and efficiency of the claim handling process. The Customer and SPSS asked Crystalloids to help them to increase the fraud detection of all claims.

Crystalloids implemented a real-time scoring solution of SPSS, called SPSS Risk Control Builder, which evaluates each claim on the chance that the claim is fraudulent.

This solution enables our Customer to standardize and optimize claim handling, enable central monitoring, enable maximum transparency and detect fraudulent claims at the start of the claim handling process. All benefits to improve their effectiveness and efficiency.

Branche: Insurance
Based in: The Netherlands
Company size: 3000+ FTE (in 2009)


Project: Optimizing Fraud Detection

One of the largest Dutch financial services and insurance company has been using SPSS Risk Control Builder to detect fraudulent claims for a few years. The Customer asked Crystalloids to assess their risk models to see whether they still meet the criteria of fraud detection.

Crystalloids used a combination of domain knowledge and Predictive Analytics to present a step by step optimization strategy for improving the precision of the customers’ risk models and advised on the optimization of the business processes for monitoring and optimizing the risk models.

This solution enabled our customer to increase the effectiveness and efficiency of their fraud detection.


Branche: Finance & Insurance
Based in: The Netherlands
Company size: 5500+ FTE (in 2009)