Case Study: Intuit reduces graph costs by 77% and improves fraud detection with TigerGraph

Intuit cuts graph infrastructure costs by 77% with TigerGraph

Intuit, a financial software company, needed a scalable graph platform to support Customer 360, identity resolution, and fraud risk detection. Their existing infrastructure was costly and lacked the flexibility and performance required for high-volume, real-time graph workloads. They implemented TigerGraph to address these challenges.

TigerGraph provided a unified graph platform that connected customer data into a single view, enabling real-time applications and graph-based machine learning. The solution reduced Intuit's graph infrastructure operating costs by 77%. It also detected 50% more fraud risk events and improved model precision by 50%, significantly strengthening their fraud detection capabilities.

Intuit