Rapid Recall Key 01–31

1. DQ: fit for purpose; formally, degree to which relevant DQ dimensions meet requirements.
2. DQ Management: ongoing planning, implementation and control of activities applying quality-management techniques so data meets consumer needs.
3. Different consumers/uses can require different quality dimensions or thresholds.
4. It requires continuing standards, monitoring, issue management, training and improvement as data/processes change.
5. Stakeholder experience/reputation; organizational effectiveness; reduced risk/cost; efficiency/productivity.
6. Govern fitness for purpose; lifecycle DQ controls; measure/monitor/report; improve processes/systems.
7. Criticality; standards-driven; objective measurement/transparency; prevention; root-cause remediation; embedded in business processes; systematically enforced; connected to service levels.
8. Focus on data most important to enterprise/customer outcomes and highest risk.
9. Express stakeholder DQ requirements as measurable standards/expectations.
10. Measure consistently and share results and methods with relevant stakeholders.
11. Prevention stops future defect creation/propagation; correction repairs bad data after the fact.
12. Find/remove the underlying process/system cause rather than repeatedly treating symptoms.
13. Business process owners, supported by Stewards/DQ and systematic controls.
14. System owners implement DQ requirements through systematic edits/controls.
15. Tie quality reporting/issue management to thresholds, response/remediation commitments and escalation.
16. A data element whose failure would materially impair important business/customer outcomes based on defined value/risk.
17. Regulatory/financial/management reporting; operations; product/customer measures; strategy/competitive differentiation; financial/regulatory/reputational risk.
18. They are shared broadly and drive many processes, decisions and validations.
19. A measurable characteristic used to express DQ requirements and measurements.
20. Validity, Completeness, Consistency, Integrity, Timeliness, Currency, Reasonableness, Uniqueness/Deduplication, Accuracy.
21. Conformance to defined type/range/format/precision/domain/time-frame rules.
22. Required values/records are present under applicable conditions.
23. Values/representations agree where shared meaning/relationship requires it.
24. Values and relationships are coherent; parent-child/reference links are intact.
25. Delay between capture/update and availability to the consumer.
26. Currentness relative to last update, volatility and consumer need.
27. Plausibility against fixed, statistical or benchmark expectations.
28. Each real-world entity is represented once under identification logic.
29. Correct representation of real-world entity/event.
30. Validity = allowed by rule/domain; Accuracy = true to reality.
31. Timeliness = availability delay; Currency = currentness/staleness.

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