Use Cases
Using XPRESSmp™ for Real-Time Fraud Detection and Notification
Challenges Addressed:
- Low latency processing
- Enhanced dynamic transaction processing
- Real-time data analysis
- Data warehouse load time reduction
- Massive scalability
- Content delivery
- Real-time dynamic data value
A financial services company needs to implement fraud detection with its existing online transaction processing (OLTP) system. The organization needs the ability to query transactions as they occur, to determine validity, and to detect/report/intercept fraudulent transactions in process by immediately alerting the appropriate applications. To achieve this, the company knows it has to scale up transaction throughput far beyond its current 100 transactions per second; and move beyond polling tables for exceptions to determine fraud—as this would introduce latency and would not be conducive to scaling.
XPRESSmp handles exceptions and transaction verification by continuously querying the incoming data; transactions identified as fraudulent or suspicious trigger alerts that are immediately pushed to the appropriate recipient. The company's goal is to process 1,000 transactions per second—XPRESSmp processes 7,000 transactions per second. XPRESSmp accelerates throughput by a factor of 70 times, and enables immediate and accurate insight into fraudulent activity for the company.
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