Data Quality Management
What is Data Quality Management?
Processes for ensuring that data is accurate, complete, consistent, and fit for its intended purpose throughout its lifecycle.
Frameworks that govern data quality management
What the standards actually require on data quality management
Requirements naming data quality management across 3 standards, quoted from the control text.
Data quality management is built from three processes: Resource Provision, Data-Related Support and Implementation (Figure 1, adapted from the primary, support and organizational processes of ISO 12207:1995 and from the ISO 9001 PDCA cycle).
iso-8000-data-quality::61:5.1 · 5.1 The basic structure of the data quality management process →A function for managing data quality has been formally set up: goals, objectives and approach for data quality are defined and communicated to all stakeholders, roles, accountabilities and governance for quality are set, and dedicated time and resources are co...
edm-council-dcam-data-management-capability-assessment-model::5.1 · 5.1 Data Quality Management Function →Define the strategy and framework for data quality management: goals, governance, roles, the approach to measurement and improvement.
dama-dmbok2-data-management-body-of-knowledge-2nd-edition::DQ.2.2 · DQ.2.2 Define a data quality strategy →Questions people ask about data quality management
What is Data Quality Management?
Why is Data Quality Management important for compliance?
Which compliance frameworks address Data Quality Management?
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See how Data Quality Management applies across compliance frameworks
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