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Many organizations have to deal with some forms of unwanted behavior that are often hard to find in a sea of data. Data mining uses targeted search to identify those situations with the highest risk. This way, available resources can be focused to reduce the greatest expenses and to deal with misdemeanors in the most effective way.

DataDetective helps organizations to quickly develop risk profiles from large databases. Its unique technology is able to detect interesting cases in the data based on multiple factors. For instance, fraud detection with data mining not only looks at unusual transfer sums, but also at the entire context in the personal dossier and transactions. This way, accurate models can be trained that predict risks at an individual level.

Applications:

  • Fraud detection: analyze transactions to discover irregularities and to recognize risk profiles that indicate fraud.
  • Credit risks: analyze customers to predict payment problems.
  • Detecting misdemeanors: analyze people and organizations to determine where the highest probabilities for rule violations are, for instance for customs and inspection services.
  • Claim risks: analyze claim history to help insurance companies improve their admittance and premium policy to minimize costs.

Interested if data mining can help your organization with risk analysis or fraud detection? Find out with our easy and free QuickScan solution.