Improving Your Data Quality Programs? Follow These GS1 Guidelines

2/27/2015
GS1 US has published a GS1 US National Data Quality Program framework, which outlines the key components to help companies establish and sustain effective data quality programs based on GS1 Standards. The framework offers detailed information about the assessment criteria and scoring for the three pillars of data quality: data governance process, education and training protocol, and attribute audit.

Developed with companies in the general merchandise, hardlines, healthcare, consumer packaged goods, grocery, fresh foods, retail and foodservice sectors, the GS1 US National Data Quality Program is designed for companies of all sizes, product types and distribution channels across multiple industries. In addition, the framework enables each industry to add additional components to address industry-specific challenges.

"The GS1 US National Data Quality Program framework is the culmination of industry stakeholders collaborating to address and confront data quality issues head-on," said Siobhan O'Bara, senior vice president of industry engagement, GS1 US. "The common approach based on GS1 Standards will promote a higher level of trust among trading partners and consumers that product information is complete, accurate and timely."

To support the GS1 US National Data Quality Program, GS1 US will hold a series of one-day workshops to educate companies about how to establish or enhance data quality programs at their organizations using a standards-based framework. Industry experts will be available throughout the workshops to share their experiences. The workshops will be held:

• April 7, 2015
8:30 AM to 5:00 PM (CDT)
Chicago

• April 21, 2015
8:30 AM to 5:00 PM (CDT)
Dallas, hosted by Dean Foods

• July 14, 2015
8:30 AM to 5:00 PM (EDT)
Mooresville, N.C., hosted by Lowe's

• Sept. 30, 2015
8:30 AM to 5:00 PM (EDT)
Atlanta, hosted by The Coca-Cola Company
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