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.
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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.
Click here to find out how GS1 can help you comply with the EU Food Information Regulation 1169/2011
“The value of our companies will increasingly rely on the ability to quickly exchange data of reliable quality. The Data Quality Framework is a comprehensive tool to improve the quality of data all along the supply chain.”
Standards & Knowledge Manager