Fraud Focus provides reports that are web-based, operational, and customized to help its users analyze frauds. This solution caters to the insurance market, and protects users and the organizations from fraudulent activities such as insurance claims, medical providers, and policy premiums. It uses predictive analytics and data mining to identify fraudulent patterns. The solution is a combination of analytic and linking technology designed to protect users from fraudulent activities.Features:
- Predictive model scoring – uses predictive analytic and data mining techniques to find subtle patterns which may be indicators of fraud in internal data and prioritises each claim, provider or policy based on the likelihood of fraud.
- Business rules – automatically detects when pre-determined business rules have been violated and provides alerts.
- Identity matching manager – automatically matches individuals, organisations, addresses and other identifiers to internal lists and third-party data sources, even when data is missing or incomplete, and consolidates the results from all matches in an easy-to-read format.
- Reporting engine – provides standard Web-based management and operational reports. Customised reports are also supported via the FraudFocus analytical data mart.