Business Analyst: What is a data quality assessment?

Data quality assessment — evaluating data accuracy and completeness.

Dimensions:

• Accuracy — data is correct.
• Completeness — data is full.
• Consistency — data is uniform.
• Timeliness — data is current.
• Validity — data follows rules.
• Uniqueness — no duplicates.

Assessment process:

1. Define quality criteria.
2. Profile data.
3. Identify issues.
4. Measure quality.
5. Report findings.
6. Recommend improvements.

Example findings:

BA role: Assess data quality for requirements.