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Data Quality

What is Data Quality?

The degree to which data meets the requirements for its intended use in terms of accuracy, completeness, consistency, timeliness, and validity.

AI and Technology

Each of these is named in at least one of the same controls as data quality. The number is how many controls name both.

What the standards actually require on data quality

Requirements naming data quality across 6 standards, quoted from the control text.

Use defined indicators to compute maturity levels for each data quality management process area.

ISO8000-64 · Data Quality Management Maturity Assessment Indicators

Establish a programme to measure, monitor, and report data quality characteristics over time.

25012-Measurement · Data Quality Measurement Programme

GS1 implementation roadmap + organizational roles. ROLES: (a) MASTER DATA MANAGER + DATA STEWARD - day-to-day GS1 keys allocation + master data quality + GDSN data publication + maintenance;

GS1-Implementation-Roadmap-Roles-Tooling · GS1 Implementation Roadmap, Organizational Roles, Tooling and Data Quality

Ensure training and operational data meet quality, representativeness, and provenance requirements.

23894-A.7 · Data Quality and Provenance

Define, monitor, and maintain data integrity through profiling, cleansing, matching, and continuous improvement.

DIQ-2 · Data Quality Management

A data quality strategy and framework defining dimensions, roles and processes is established.

DCAM-7.1 · Data Quality Strategy

Questions people ask about data quality

What is Data Quality?
The degree to which data meets the requirements for its intended use in terms of accuracy, completeness, consistency, timeliness, and validity.
Why is Data Quality important for compliance?
Data Quality is a key concept in AI and Technology. Understanding data quality helps organizations meet regulatory requirements, reduce risk, and demonstrate due diligence during audits. Our compliance platform maps 686 frameworks with 311K cross-framework control mappings.
Which compliance frameworks address Data Quality?
Data Quality appears in the requirement text of ISO 8000 - Data Quality, ISO/IEC 25012:2008 - Data Quality Model, GS1 Global Standards - Supply Chain Traceability and Data Security, ISO/IEC 23894:2023, DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition). Across these standards we have identified 42 controls that name it directly, each linked to the control text on the compliance platform.
Where can I learn more about Data Quality?
Explore our compliance framework pages to see how data quality applies across different standards and regulations. Our implementation guides provide step-by-step guidance, and the compliance platform offers AI-powered analysis of how this concept maps across 686 frameworks.

See how Data Quality applies across compliance frameworks

Our platform maps 686 frameworks with 311K cross-framework control mappings. Explore how this concept is addressed across standards.

Written and maintained by Gerard Blokdyk, The Art of Service.