DAYTON, Ohio, May 23, 2006 – Teradata, a division of NCR Corporation(NYSE: NCR), has established an advanced analytics lab specifically for retailers and consumer goods companies where information on the most important facets of their operations can be discovered. The lab also analyzes data captured by radio frequency identification (RFID) applications across the supply chain.

The new Retail Advanced Business Analytics & RFID Lab is housed at the Teradata Benchmark Center in Rancho Bernardo, Calif. The lab demonstrates to retailers and consumer goods companies how their data can be used in innovative ways to derive incremental business value. Focal points at the lab include deep analytics, predictive modeling, data mining, and RFID data analysis. Analytical results are presented using data visualization technologies.

"The lab is dedicated exclusively to addressing the everyday business management issues faced by retailers. Our customers recognize that the ability to find connections between detailed-level data gives them a competitive advantage," said Bill Franks, Teradata director of retail analytics.

Teradata is currently inviting retailer and consumer goods companies to partner in breaking new enterprise intelligence ground in the Retail Advanced Business Analytics & RFID Lab. "Teradata will help scope targeted projects of four to eight weeks in length that help companies explore new areas of data analysis," Franks said.

Enterprise Clarity Directs Actions
With Teradata's advanced analytic services, companies across many different vertical markets can realize benefits such as these:

• A large fashion retailer discovered several customer segments that had been vastly over- or undervalued previously and geared future promotional campaigns based on these customers' value rather than just their demographic profile.
• A global consumer products company analyzes daily, SKU-level, location data from its direct store delivery distribution network to provide higher service levels and reduce out-of-stocks, and execute more effective trade promotions with its retail customers.
• A leading grocery retailer developed models for predicting the best time to offer certain products to customers and who would be most likely to purchase certain key items. These models allowed the retailer to target offers better and increase relevancy and response.

Now RFID Can Direct Supply Chain Operations
Better demand forecasting can be achieved by integrating point-of-sale data, in near-real-time, into demand tools which will help build better forecasts and account for seasonality, regional variations, pricing, promotions, distribution and manufacturing constraints within the supply chain. Leveraging supply-chain information with RFID data, enterprises have more immediate and detailed insight into daily business operations.

"Today's leading consumer packaged goods companies are building demand-signal repositories to monitor retail demand with analytics," said Dan Odette, Teradata vice president of global industry solutions for manufacturing. "The demand-signal repository is an integral part of an enterprise data warehouse strategy that correlates financial, product, RFID, and other supply-chain data with customer demand to allow companies to maximize profitable market share."

Richard Beaver, Teradata senior industry consultant for RFID, said, "Companies that have already implemented RFID are quickly moving away from the physics of data communication to where the real value is: analysis of the collected information. "When the serialized information that RFID contains is fully integrated into business decision-making, companies stand to realize a significant return on investment. This new analytics lab makes it possible for companies to understand what they haven't known before and to take steps to improve their operations in cost-saving ways."

Lab Analytics Capabilities
"Too often data still exists in store, product and department silos. Extracting valuable information is nearly impossible," said Teradata Vice President of Retail Rob Berman. "The new analytics lab can help identify business opportunity, analyze the data and advise retailers on how to gain maximum leverage and differentiation from the data warehouse investment—all without affecting their current environment."

Teradata advanced analytics capabilities available at the new lab include:

• Customer segmentation methodologies with results that can be linked directly to a customer relationship management or business-intelligence environment;
• Purchase-behavior profiling based on individual market baskets without customer-identifiable data;
• Response modeling to assess promotional campaigns, product propensity and customer attrition;
• Store segmentation based on sales patterns as opposed to geographic or demographic profiles;
• Affinity and purchase-path analysis of products that sell in conjunction on daily, promotional and seasonal bases, plus customer purchase links over time;
• Competitive-incursion analysis of the effects of competitive openings on store locations;
• Cashier-productivity analysis to maximize productivity, identify training opportunities and limit fraud.

About Teradata Division

About NCR Corporation

# # #

NCR and Teradata are trademarks or registered trademarks of NCR Corporation in the United States and other countries.

Contact: D'Anne Hotchkiss, Teradata Division, NCR Corporation
Telephone: (609) 275-9325 
E-mail: d'anne.hotchkiss@teradata-ncr.com