In the 5th Annual Survey (2011) data miners shared examples of situations where data mining is having a positive impact on society. A summary of the top five positive impact example topic areas is available. Below is the full text of the positive impact examples they shared in the topic area of Fraud Detection:

• Insurance Fraud Bureau uses link analytics and data mining within Detica NetReveal to detect motor fraud . Up to date over 150 arrests have been made on organised criminal rings and seized millions of pounds in proceeds of crime reducing premium costs for us all.
• Insurance fraud detection and insurance risk estimation - better prices for better clients.
• Preventing financial transaction fraud.
• Fraud detection and prevention; crime and terror prevention.
• Fraud, criminal and terrorist detection.
• Currently: mitigating fraudulent activities, and ultimately: preventing fraudulent activities.
• Detection fraud. Detection criminal activities.
• Fraud Detection and crime prevention
• Financial fraud detection, data quality diagnosis
• Fraud detection
• Fraud detection
• Fraud detection
• Fraud detection