Case Study: Leading Canadian Financial Institution achieves real-time AML compliance and fraud prevention with DataTorrent

Leading global financial institution relies on DataTorrent to counter and prevent money laundering and fraud

Leading Canadian Financial Institution, one of Canada’s largest banks, needed real-time data ingestion and analytics to monitor transactions, prevent money laundering and fraud, and meet strict regulatory compliance requirements. Its data came from 150 sources into a central Teradata database, creating a complex challenge for reporting, cleansing, and suspicious-activity monitoring. DataTorrent provided the ingestion and transformation platform used to address these needs.

DataTorrent implemented an Ingestion and Transformation Solution with exactly-once semantics, prebuilt operators, fault tolerance, and seamless integration with Teradata, HDFS, and Vertica. The bank was able to improve real-time transaction monitoring, better detect suspicious patterns, demonstrate AML compliance, and reduce total cost of ownership by running on Hadoop and commodity hardware.