Case Study: OTP Bank achieves near-real-time fraud detection and faster loan approvals with SAS Visual Analytics and SAS Detection and Investigation for Banking

OTP Bank - Customer Case Study

OTP Bank, the largest independent banking group in Central and Eastern Europe with over 13 million customers in nine countries, faced a rising tide of sophisticated credit fraud that threatened direct losses and slower approvals. The bank needed a faster, more reliable way to spot potential fraud across multiple accounts and systems—ideally with social network insights—without delaying loan decisions or forcing higher rates.

OTP implemented SAS Visual Analytics and SAS Detection and Investigation for Banking, combining advanced statistical models, deterministic and associative analysis, and social network analysis to detect suspicious linkages and learn from completed cases. The solution delivers near–real-time, visualized insights to analysts, investigators and risk managers, cutting report times from a day to 10–20 seconds, reducing false positives and enabling faster, more competitive credit decisions.

OTP Bank

Zoltan Zsolt Nagy

Head of the Analysis and Modeling Department, Credit Approval and Risk Management Division