Zorg En Zekerheid – IBM SPSS Case Study
Zorg en Zekerheid needed a more accurate and efficient solution to detect claims fraud – including the wrongful practices of “up-coding” and adapting invoices.
Zorg en Zekerheid turned to the data mining solution, IBM SPSS Modeler to detect anomalies regarding claims. Modeler easily detects patterns and trends in structured or unstructured data using a unique visual interface, supported by advanced analytics. IBM SPSS Modeler has taken the guesswork out of fraud detection by automatically discovering anomalies that point to fraud.
Download the Case Study to find out more.