Data Yard 6C’s

Data Yard measures product data quality against a 6C’s framework, which we believe offers a more complete and practical model for assessing product information than the binary compliance assessments typically used in regulatory contexts.

These 6 dimensions are:

  • Completeness: the degree to which a supplier has populated the required fields of the PST across it’s product range, measured against our Data Levels model.

  • Consistency: whether product data is structured and classified in alignment with recognised standards, principally ETIM, ensuring that data is comparable and interoperable across the supply chain.

  • Compliance: whether the prodct data includes regulatory and accreditation information required, including Declaration of Performance, UKCA/CE marking status and CCPI alignment.

  • Confidence: a time-based risk indicator. Product data that has not been reviewed or refreshed within a defined period is automatically RAG-rated on the platform, providing a visible warning to merchants and other data consumers that the information may be stale.

  • Clarity: the Data Level achieved by each supplier is publicly visible on the platform to all participants. There is no ambiguity about what a supplier has published or to what standard. This transparency creates accountability, without enforcement: suppliers can see where they stand relative to their peers and merchants can make decisions about the data they’re receiving.

  • Collaboration: data quality is not achieved by suppliers in isolation. It improves through active engagement between suppliers, merchants, buying groups and platform operators. Customers providing feedback on the data gaps, Merchants setting adoption expectations, and suppliers responding to real-world use all drive measurable improvements over time.