Glossary

What are Global Data Standards?

What do Global Data Standards mean?

Global Data Standards (GDS) are internationally accepted frameworks that define how data should be structured, described, and shared across industries and systems. They include taxonomies, classification systems, and coding structures that make it possible for organizations to exchange information seamlessly.

Examples include UNSPSC Codes, eCl@ss Classification, and ISO 8000 Data Quality Standard. These standards help organizations reduce duplication, improve data accuracy, and streamline global operations.

Why are Global Data Standards important?

Adopting Global Data Standards provides organizations with several key benefits:

  • Consistency: Unified data formats across ERP, EAM, and CMMS systems
  • Interoperability: Easier data exchange between suppliers, customers, and partners
  • Efficiency: Faster procurement and reduced costs from harmonized spare parts and supplier data
  • Compliance: Alignment with international regulations and industry best practices
  • Scalability: A solid foundation for digital transformation and Industry 4.0 initiatives

Without Global Data Standards, companies face fragmented data, inconsistent reporting, and costly inefficiencies.

How Sharecat supports Global Data Standards

Sharecat Data Services helps organizations align their data with recognized global standards, ensuring quality, accuracy, and interoperability. This includes:

  • Cleansing and enriching data to meet ISO 8000 quality requirements
  • Mapping materials and spare parts to UNSPSC and eclass classification systems
  • Establishing governance frameworks for sustainable data quality
  • Enabling global collaboration with suppliers and partners

By embedding Global Data Standards into data management strategies, Sharecat enables companies to unlock efficiency, reduce costs, and ensure reliability across their operations.