Increased regulation and growing competition in the banking and financial domain are increasingly placing pressure on companies to prevent losses proactively. Fraudulent transactions are a major contributor to losses, so many companies are seeking advanced predictive analytics to detect and mitigate fraud before it happens.
StatSoft provides a comprehensive Fraud Detection solution that uses advanced data mining and predictive modeling techniques in a robust platform to proactively detect anomalies and/or systematic characteristics of fraudulent transactions. These problems can be flagged as new transactions occur, enabling real-time fraud detection. StatSoft’s Text Analytics tool can be used to further enhance the fraud detection solution by incorporating unstructured data, as well.
- Leading-Edge Predictive Analytics: Sophisticated algorithms to build models that provide the most lift, highest accuracy for fraud detection, and best ROI.
- Enterprise-Wide Solution: A multi-user, role-based, secure STATISTICA Enterprise platform allows for a truly collaborative and efficient environment to build, test, and deploy the best possible models for fraud detection.
- Reflexive Models for Real-Time Needs: Live Score® processes new transactions as they happen and updates fraud models in rapid turn-around times made possible only by STATISTICA’s integrated solutions.
- Integrated Workflow: STATISTICA Decisioning Platform® provides a streamlined workflow where business rules and industry regulations are used in conjunction with advanced analytics to build powerful predictive models.