Increasingly complex systems and relationships are putting a strain on traditional management solutions’ ability to monitor financial transactions for regulatory purposes. Transaction monitoring is often conducted using a batch, end-of-day process instead of being executed in real time.
Goals and Objectives
Empower managers to quickly and accurately provide granular, real-time insights into areas of regulatory interest using a unified transaction monitoring system. Enhance traditional rules-based exception identification through the application of intelligent technologies that can capture patterns that case-to-case evaluation cannot. Apply machine learning to eliminate false positives.
Cloud, advanced analytics, transaction monitoring software, and machine learning
Use Case Summary
Fragmented transaction monitoring fails to efficiently capture the many data points of potential regulatory interest. Centralize and disseminate transaction life-cycle information to relevant functional parties using a unified transaction monitoring system. Leverage technology to automate oversight and reporting tasks stemming from observed exceptions.