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FMCG Suppliers: How to implement a GS1-compliant Data Quality Management System
Item master data is necessary for ordering, invoicing, logistics, distribution, and more – but it isn’t always obvious when this data is wrong. Unfortunately, incorrect product data can translate to inefficiency, higher costs, and worse.
This comprehensive report details the consequences of bad data quality and explores best practices for implementing a data quality management system that’s compliant with the global standards body GS1.
Inside, learn more about:
- Elements of a successful data quality management initiative
- Key implementation challenges and recommendations
- Data quality management implementation checklist
- And more