Case Study: EY detects fraud faster with IBM Analytics

Big risks requires big data thinking helping clients target and prevent fraud

EY, a global professional services firm, faced the challenge of helping its clients proactively manage increasing fraud and corruption risks, especially as they sought growth in higher-risk markets. Their existing tools were insufficient for the volume and complexity of modern data, prompting a need for a more sophisticated forensic data analytics capability. To address this, EY partnered with vendor IBM and its IBM Counter Fraud Management and IBM BigInsights products.

The IBM solution provided a powerful big data platform that integrated multiple data sources and applied advanced analytics, including text-mining, to detect hidden patterns and anomalies indicative of fraud. This allowed EY to move beyond traditional rules-based tests and perform deeper, real-time analysis. The results were significant, with IBM's technology slashing query times from hours to minutes. This enabled EY to rapidly identify threats, reduce false positives, and offer clients a more holistic and proactive stance against security risks.

EY

Vincent Walden

Partner, Fraud Investigation & Dispute Services