DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)

Data quality (chapter 13) – DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)

DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition) DQ.2.1: DQ.2.1 Define high quality data

Define what high quality data means for the organization: the dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness and others) and the expectations of consumers.

Maintained by Gerard BlokdykControl text last updated 21 May 2026

Other controls in Data quality (chapter 13) – DAMA-DMBOK2 - Data Management Body of Knowledge (2nd Edition)

DQ.2.2 DQ.2.2 Define a data quality strategy
DQ.2.3 DQ.2.3 Identify critical data and business rules
DQ.2.4 DQ.2.4 Perform an initial data quality assessment
DQ.2.5 DQ.2.5 Identify and prioritize potential improvements
DQ.2.6 DQ.2.6 Define goals for data quality improvement
DQ.2.7 DQ.2.7 Develop and deploy data quality operations

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The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.

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