International standards have existed for years to help organisations define, measure, exchange, and govern data more consistently. In particular, ISO 8000 provides a practical framework for understanding what quality data is and how to manage it in a structured way.
That makes standards a valuable tool for any organisation trying to improve data quality, especially in industrial, manufacturing, supply chain, and regulated environments.
As data flows across more systems, suppliers, customers, and automated processes, organisations need a shared language for quality.
Standards help with that by making expectations explicit. They support:
In other words, standards make trusted data easier to specify and harder to ignore.
ISO 8000 is an international standard series for data quality. Published by the International Organization for Standardization, it provides a framework for defining what quality data actually means, how it should be measured, and how it should be exchanged between organisations.
The core insight of ISO 8000 is deceptively simple: quality data is data that can be used for its intended purpose. That framing immediately makes data quality a business question, not a technical one. It forces you to ask: what is this data for? Who needs to use it? What does it need to contain, and in what form, for that use to be successful?
ISO 8000 addresses this through a series of parts covering the portability of master data, the specification of data quality requirements, the measurement of conformance, and the exchange of characteristic data between trading partners.
ISO 29002 is the part of this family that specifies how characteristic data — product properties, material specifications, technical parameters — should be structured and exchanged. It defines a formal syntax for expressing the values of technical properties in a way that is unambiguous across organisational and language boundaries.
This matters enormously in industrial and manufacturing contexts, where a product description like “carbon steel tube, 50mm OD, 3mm wall, 6m length” needs to mean exactly the same thing to the supplier, the distributor, the engineer, and the procurement system — and where the failure to ensure that consistency results in the wrong component being ordered, installed, or specified.
ISO 29002 builds on the identification framework of ISO/IEC 6523, which provides a standard way of identifying data providers and classification schemes — ensuring that a property value referenced in one organisation’s system can be unambiguously resolved in another’s.
The challenge is not that standards are missing. It is that they are often invisible outside specialist circles.
Many business leaders know they have a data problem, but they have never been shown a standards-based way to solve it. As a result, they end up building custom governance frameworks, custom definitions, and custom rules — even when a recognised foundation already exists.
That is a missed opportunity.