What People Say
A multinational bank leverages big data platform to improve Compliance capabilities – Transaction Monitoring and Anti Money Laundering (AML) processes to protect global clients and franchises from financial crimes
Address data quality and cost challenges of legacy and outdated compliance process and systems. Tools and Technologies: Hadoop, Hive, Talent, Kafka, Spark, ETL, Microstrategy, Tableau
The client’s legacy AML application infrastructure was leading to data acquisition, quality assurance, data processing, AML rules management and reporting challenges. High data volume and rules-based algorithms were generating high numbers of false.