What is Data Quality?

Good quality data means that all master data is complete, consistent, accurate, time-stamped and industry standards-based. By improving the quality of data, trading partners reduce costs, improve productivity and accelerate speed to market.

Good quality data is foundational to collaborative commerce and global data synchronisation.

GS1 GDSN calls for data quality programmes that are sustainable and focused on the long term: our experience has shown time and again that business benefits come not from enacting short-term curative data cleansing actions, but only from having good quality data from the start.

GS1, along with AIM, CIES, ECR Europe, FMI, GCI and GMA have developed a comprehensive best practice guide for the improvement of data quality for global data quality called the Data Quality Framework.

Read more about the Data Quality Framework

“At Kraft, good data is so important to us. For example, if we put the number for 'depth' in the 'width' column, the retailer is not going to put our product in the right place, and it won't fit. So we've learned through experience that getting the data right, country by country, is critical to our success.”

Hugh Roberts
President, International Commercial
Kraft Foods 1976-2007