Visual Maps 01–04
Map 1 — Fit-for-Purpose Lens
CONSUMER PURPOSE → REQUIREMENT / THRESHOLD → DATA → QUALITY JUDGMENT
Interpretation: quality is not absolute. The same measured condition can pass one use and fail another.
Rebuild: write two different consumer uses under PURPOSE.
Answer check: if the map has a quality score without a requirement, it is incomplete.
Source: pp. 424–428.
Map 2 — Criticality Value Ladder
BUSINESS DRIVER → IMPAIRMENT / RISK → DATA ELEMENT → CRITICALITY LEVEL → CONTROL INTENSITY
Interpretation: criticality connects DQ effort to value/risk. Regulatory, financial, operational, customer, strategic, and reputational consequences can all drive ranking.
Rebuild: add at least five impact drivers.
Answer check: ranking only by volume/popularity is wrong.
Source: pp. 428–429.
Map 3 — Nine-Dimension Wheel
Put DATA QUALITY in the center. Nine spokes:
VALIDITY | COMPLETENESS | CONSISTENCY | INTEGRITY | TIMELINESS | CURRENCY | REASONABLENESS | UNIQUENESS | ACCURACY
Deciding questions: - Validity — allowed? - Completeness — present? - Consistency — agrees? - Integrity — relationships valid? - Timeliness — available when needed? - Currency — current enough? - Reasonableness — plausible? - Uniqueness — one per entity? - Accuracy — true to reality?
Source: pp. 429–432.
Map 4 — Rule-to-Metric Chain
BUSINESS EXPECTATION → DIMENSION → DQ RULE → MEASURE → THRESHOLD → STATUS / ACTION
Interpretation: the dimension classifies the quality characteristic; the rule makes it testable; the metric is evidence; the threshold interprets acceptability.
Rebuild example: U.S. customer needs ZIP → Completeness → conditional rule → 97.5% conformance → 99% threshold → fail/act.
Source: pp. 432–434, 453–456.