IBM
Case Studies
Big risks requires big data thinking: helping clients target and prevent fraud
Overview
Big risks requires big data thinking: helping clients target and prevent fraudIBM |
Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Exchange & Integration | |
Finance & Insurance | |
Business Operation | |
Fraud Detection Regulatory Compliance Monitoring | |
Data Science Services | |
Operational Impact
EY can now use their library of anti-fraud tests and their years of expertise, and work with their clients to set up EY Counter Fraud powered by IBM via the cloud or on-premise. | |
The solution gathers data from multiple sources and applies real-time analytics to identify hidden patterns and anomalies that can be indicators of rogue or criminal activity. | |
By identifying indicators of suspicious behavior early, the solution helps clients understand whether something is a false positive or the result of true corrupt intent. | |
Quantitative Benefit
Queries run in minutes, not hours, helping clients rapidly identify and eliminate threats. | |
Analytics searches go from taking hours on a traditional SQL-based platform to literally minutes on the IBM solution. | |