Transform Your Financial Crime Detection with Graph Analytics

In 2023, an estimated $3.1 trillion in illicit funds flowed through the global financial system, with fraud and bank scams alone causing projected losses of $485.6 billion. The increasing data volumes, growing number of apps and systems, and complex international regulations make combating financial crime more challenging than ever. To tackle these sophisticated crimes, financial institutions and retailers must fully harness their data and analytics. While traditional methods, including machine learning, have plateaued, graph analytics is uncovering hidden patterns and boosting detection rates by up to 20%.

Graphs extend data discovery capabilities, surpassing conventional technologies by enriching information and reducing false positives, thereby significantly enhancing the accuracy of fraud detection tools. They provide all relevant data on a single pane of glass, eliminating fragmentation and accelerating the triage process. Graph analytics are particularly effective at spotting suspicious activities across multi-hop relationships that often go unnoticed. Watch our experts discuss how graph analytics can revolutionize financial crime detection with real world examples. Whether you're a compliance officer, data scientist, or financial services professional, this webinar will equip you with the knowledge and tools to stay ahead of financial criminals