FRAUD DETECTION
Fraud detection issues
Fraud detection is an area that is addressed in many organisations - from insurance companies, banks, credit companies to government departments.
Exact rules are applied in fraud detection, as well as advanced methods of statistical data analysis and data mining. Recently, self-learning mechanisms, text mining and social link analysis tools have been increasingly applied in these systems.
Although the statistical and data mining tools are behind these systems, the user interface is very intuitive. It is tailored to ensure that the maximum relevant information for the fraud investigation is available at a glance.
What they provide
- Initial identification of fraudulent behaviour
- Systemic support to address them.
What they include
- Data integration and statistical analysis
- Scoring
- Alert generation
- Post-processing of detected cases
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