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High-Yield Targets 01–17

1 — Fit for purpose and context

Same data can satisfy one use and fail another. A score without a purpose-specific requirement/threshold is incomplete evidence.

2 — DQ Function vs project/program

The function is ongoing business-as-usual. Projects/programs are temporary improvements inside it.

3 — Four goals

Governed fitness for purpose; lifecycle controls; measure/monitor/report; improve processes/systems.

4 — Eight principles

Criticality; standards-driven; objective measurement/transparency; prevention; root cause; embedded in processes; systematically enforced; connected to service levels.

5 — Critical Data Elements

Prioritize by impairment/value/risk to important outcomes—not popularity or volume.

6 — Validity

Conformance to type/range/format/precision/domain/time-frame rules. Valid can still be inaccurate.

7 — Completeness

Required values/records are present under applicable conditions. Conditional mandatory rules matter.

8 — Consistency

Representations/assessment agree across records, sets, systems, or time. Agreement does not prove real-world truth.

9 — Integrity

Relationships are coherent. Think missing parent, orphan record, broken reference.

10 — Timeliness vs Currency

Timeliness = delay until availability. Currency = currentness. On-time stale data can be timely yet not current.

11 — Reasonableness

Plausibility against a fixed or statistical benchmark. Unusual is evidence to investigate, not automatically proof of invalidity.

12 — Uniqueness

One real-world entity per identification rule. Duplicate identities are the clue.

13 — Accuracy

Correctly represents reality. Often requires trusted comparison/verification and is harder to measure directly.

14 — Business Rule vs DQ Rule

Business expectation describes desired behavior; DQ rule makes it testable against a quality dimension. Neither is the measured result.

15 — PDCA lifecycle

Plan requirements/causes; Do fixes/controls; Check conformance; Act on failures/changes and cycle again.

16 — Five cause families

Oversight; data entry; processing; system design; fixing previous issues. Never default automatically to “user error.”

17 — Seven formal activities

Framework → Define High Quality → Dimensions/Rules → Initial Assessment → Prioritize Improvements → Set Improvement Goals → DQ Operations.

Source anchors: pp. 424–445.

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