China UnionPay Data Co., Ltd, Partners with Retail Decisions

London, UK – 20 September 2007

Retail Decisions (ReD), a payment card issuer and world leader in card fraud prevention and payment processing, has partnered with Unisys China (Unisys), to implement its ReD Fraud Prevention solution PRISM®, for China UnionPay Data Co, Ltd. (CUP Data). CUP Data is China's largest bankcard processor, providing transaction processing, disaster recovery and other services for issuing banks in China. CUP Data’s customers include 16 of China’s 29 card-issuing banks.

ReD has partnered with CUP Data to offer a comprehensive real-time fraud prevention and control solution. Unisys offers all the project management and systems integration services to fully integrate ReD PRISM into CUP Data’s IT environment.

Liwei Wang, Executive Vice President of China UnionPay Data Co., Ltd. said:
"ReD has a proven track record of success in fraud prevention. That’s why the choice to partner with ReD as a provider of fraud prevention technology was straightforward – we needed a strategic partner to provide us with an excellent and flexible solution that will grow alongside our business as our card network increases.”

Perry Wu, GM, GFS, Unisys China said:
"ReD continues to provide us with excellent fraud prevention solutions that are tailor-made to our clients’ needs. Once again, we are delighted that we are able to team up with ReD and incorporate its considerable expertise into our overall service offering.”

Carl Clump, CEO of ReD, added:
"We are extremely pleased with CUP Data’s decision to deploy our ReD PRISM fraud prevention solution. CUP Data is the largest processor of credit cards in China and CUP Data’s customers will benefit immediately from increased profitability that comes from the reduction in fraud.”

“This is ReD’s first step into China. China is one of the fastest growing markets for payments, and we are eager to be a part of that growth.”

CUP Data will be hosting ReD’s Analysis and Review System, which permits CUP Data customers to construct, evaluate and deploy rules dynamically. The net benefit will be reduced fraud losses, enhanced customer service, and improved operational efficiency.

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