Case Study: a major financial institution improves anti-money laundering investigations with TigerGraph

Major Financial Institution improves AML investigations in months with TigerGraph

a major financial institution was looking to improve its anti-money laundering efforts by enhancing its networking and link analysis capabilities. The challenge was to identify connections between work items, perform thorough ad hoc reviews of entities, and better prioritize investigations using its legacy relational database system.

TigerGraph provided a solution by implementing its graph platform, which enabled in-depth analysis of connected data that was previously impossible. The results included a significant improvement in the analytical team's ability to identify and trace money laundering connections in real-time, leading to greater effectiveness, efficiency, and substantial gains in productivity for the institution's investigative workflows.

Major Financial Institution