📊Interactive Checklist

Data Quality Management Checklist

Assess and improve data quality across critical domains.

15 items0%

Critical items (marked ★) carry 4–5× weight. Weighted score reflects data quality programme maturity, not just task completion.

Data Profiling & Assessment

Understand the current state of data quality across critical domains.

0/5

Profile all critical data assets for completeness, accuracy, consistency, and timeliness.★ Critical

1.1

Identify and document authoritative sources of record for each critical data domain (customer, product, financial).★ Critical

1.2

Quantify the business impact of known data quality issues (revenue leakage, compliance risk, decision errors).

1.3

Map data flows from source to consumption to identify transformation points where quality degrades.

1.4

Establish baseline data quality scores for each critical domain to track improvement over time.

1.5

Define, implement, and automate quality checks across the data pipeline.

0/5

Define business-agreed data quality rules (validity, uniqueness, referential integrity) for each critical dataset.★ Critical

2.1

Implement automated data quality checks at ingestion, transformation, and delivery points.

2.2

Configure alerting and escalation when data quality scores fall below agreed thresholds.

2.3

Establish data quality dashboards visible to both technical and business stakeholders.

2.4

Implement data anomaly detection to catch unexpected pattern changes in key metrics.

2.5

Assign accountability and create a culture of data quality ownership.

0/5

Assign data stewards for each critical data domain with clear responsibilities and authority.★ Critical

3.1

Establish a data quality issue management process with triage, root cause analysis, and resolution tracking.

3.2

Conduct quarterly data quality reviews with business stakeholders to align on priorities.

3.3

Integrate data quality metrics into data product SLAs and vendor contracts.

3.4

Train data producers and consumers on data quality standards and their role in maintaining them.

3.5