Source document: https://docs-lawep.s3.us-east-2.amazonaws.com/1697740669643.pdf (Grenada)
Decision Manager Spot more fraudulent orders faster —and maintain a positive customer buying experience.

s What is Decision Manager?

KEY STATS To optimize fraud management, you need to maximize revenue and lower your fraud losses by accepting more genuine orders and minimizing operational costs – all while providing a positive customer buying experience.
Decision Manager, the only fraud management platform built on the World’s Largest Fraud Detection Radar, can help you automate and streamline your fraud operations.
SOURCES 1 CyberSource North America Merchants Fraud Benchmark Report 2016 2 CyberSource Latin America Online Fraud Report 2016 manual review IN NORTH AMERICA1 83% of merchants conduct 29% of all orders are 2.8% orders are rejected reviewed manually IN LATIN AMERICA2 83% of merchants conduct 29% of all orders are reviewed manually manual review 8% orders are rejected Decision Manager Benefits Leverage the World’s Largest Fraud Detection Radar and automatically detect fraud with greater accuracy, based on insights from the more than 68 billion transactions that Visa and CyberSource process annually Real-time fusion modeling, built on machine learning, in tandem with a flexible and customizable rules engine, allows for swift and accurate responses to unique or emerging fraud trends Streamline your fraud operations and customize rules and models to your specific business, across all sales channels How Decision Manager Works Decision Manager can help you automate and streamline your fraud operations with: Automated Screening Real-time Fusion Model Flexible Rules Engine Case Management Reporting & Analytics The Power Of Data The more data you have, the better you can detect patterns of good and bad behavior - and make more informed fraud management decisions Decision Manager utilizes hundreds of data elements in every risk assessment Our real-time fusion modeling techniques leverage the proven effectiveness of conventional static machine learning models, using the more agile data analysis capabilities of today’s most advanced self-learning models Why CyberSource?
s s s s s Leverage the World’s Largest Fraud Detection Radar based on insights from over 68 Billion transactions processed by Visa and CyberSource, annually In 2015 we had 475,000 customers and managed 223 billion payments, which translates into approximately 1 out of every $10 spent online, worldwide The most connections to acquiring/issuing banks, worldwide, to monitor compromised account activity.
100+ global processor and acquirer connections Patented Real- Time Fusion Modeling enhance detection accuracy and enable fast, confident strategy adjustments Local dedicated risk teams that monitor trends and guide fraud management strategy located in Miami, Mexico City and Sao Paulo SOURCE: CyberSource, 2015.