Reduce your fraud loses with IQR's analytics techniques.
Digging deep into your data, IQR’s hybrid approach for fraud detection uses multiple analytics techniques ensures suspicious activity is identified quickly so the risk exposure is minimized. Using sophisticated data mining tools such as decision trees machine learning, association rules, cluster analysis and neural networks, we develop predictive models that estimate both the probability of fraudulent behavior as well as the dollar amount of fraud.
Our solution helps you
- Use historical information to identify suspicious behaviors similar based on previous fraud patterns
- Accurately identify suspicious act to reduce false positive rates
- Enhance operational efficiencies by streamlining your fraud prevention strategies
For more information on our services and solutions, please contact us.