Financial institutions require an effective way to transform diverse and disparate Big data into actionable information and insight, detecting signs of fraudulent and suspicious activity.
Umaizi leverages a combination of threshold and behavioral based lenses to provide financial institutions with insight into their customer activity allowing for fast identification of fraudulent and suspicious activity. The Umaizi solution ensures the quality and manageability of this information as it is transformed into useful business intelligence available across the financial enterprise.
Detect Fraud and Ensure BSA/AML Compliance
Umaizi has a preset of lenses to provide insight across all common areas of fraud in addition to identifying customers with irregular activity based on historical data. Combining this data allows for a reduced rate of false positives.
Further, Umaizi provides complete support for BSA/AML ensuring compliance. Risk scores are generated to determine the risk level of each customer while watchlists are easily run against all new customer accounts and additional screening of all transactions. Umaizi understands that each institution has their own unique risk profile and it can be adjusted to meet your financial institutions risk profile to ensure accurate suspicious activity detection.
Combining Umaizi with AFM, financial institutions have the ability to review historical alerts, conduct periodic customer/member reviews and understand their risk.
- Predictive analytics
- Alert generation
- Create your own rules
- Eliminate alert false positives
- Ad hoc assessments of existing data
- Highly scalable
- Ensure internal and regulatory compliance for SARs and CTRs