Collaborative, Cross-Sector Data Sharing To Enhance Fraud Prevention Strategies
This case study demonstrates why organisations should come together and share intelligence for collective benefit to combat fraud, risk and financial crime. A collaborative approach is vital when trying tackle potentially fraudulent activity. Fraudsters work across different sectors and so must those seeking to prevent fraud. This case study demonstrates how such a collaborative approach, across public and private sectors, to data sharing is starting to reap significant rewards. SITUATION Leading business insurer, QBE has been working collaboratively with Synectics Solutions for a number of years to combat fraud in the insurance sector. QBE use SIRA from Synectics Solutions – a sophisticated workflow management and data matching tool; and National SIRA – a leading database of known fraud cases, contributed to by over 130 organisations. In recent years, the insurer has sought to increase and enhance its automated fraud detection capacity using new methods and data sources. QBE wanted to identify additional sources of intelligence to help them spot more fraud across insurance applications. The fraud team also wanted to see an uplift in the amount of fraud detected for previously investigated cases, by retrospectively matching to records, previously marked as fraud. In particular, they wanted to look at exaggerated and fabricated, third party motor and casualty claims, to see if there was any correlation between fraudulent benefit and insurance claims.