A major US communications company fights theft and billing fraud
Company Size
1,000+
Region
- America
Country
- United States
Product
- IBM i2 Fraud Intelligence Analysis
Tech Stack
- IBM i2 Analyst’s Notebook
- IBM Fraud and Abuse Management System (FAMS)
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Telecommunications
Applicable Functions
- Business Operation
Use Cases
- Fraud Detection
Services
- Data Science Services
About The Customer
The customer is a major communications company based in New York City, United States. Founded in 1983, the company provides services across the country. With more than 188,000 employees, the organization serves 255 million customers and posted revenue in excess of USD110 billion in 2011. The company faces significant challenges in dealing with fraud and theft, with major criminal threats including equipment theft from online and retail spaces as well as fraudulent insider billing schemes. These activities have the potential to cost the company billions of dollars.
The Challenge
The major US communications company was facing significant losses due to equipment theft from online and retail spaces as well as fraudulent insider billing schemes. These criminal activities were constantly evolving, requiring the company to stay highly adaptable and proactive in its fraud and theft detection and prevention efforts. The company was losing billions of dollars to the black market when smartphones were stolen and multiyear service contracts were not secured. Malicious acts including submitting incomplete invoices, overbilling and overcharging for a lesser product were also costing the company money. The company needed to improve its ability to ingest large volumes of data from multiple sources and integrate that data for visualization to improve its fraud prevention and detection platform.
The Solution
To strengthen its fraud detection, prediction and prevention processes, the communications company upgraded to the IBM i2 Fraud Intelligence Analysis platform. This platform helped the company improve audit functions, previously sourced to 12 countries, and perform them in-house. The solution significantly enhanced additional aspects of fraud detection and prevention. Improvement of data import functions combined with better linkage and visual analysis expanded the i2 Analyst’s Notebook software’s capabilities for examining insider billing and financial schemes. The new system can ingest multiple data sources and quickly, accurately integrate both structured and unstructured data. The company has gained a platform that provides a tighter integration of all fraud detection capabilities, cleaner and better quality data, and more streamlined workflows for better detection and prevention of fraud and theft schemes.
Operational Impact
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