Data Quality Skill

Systematic approach to diagnosing and fixing data quality problems.

Data Quality Process

Define & Identify → Detect & Quantify → Clean & Rectify → Measure & Verify

1. Define: Understand data context, business rules, quality requirements
2. Detect: Profile data, find glitches (missing, duplicates, outliers, violations)
3. Clean: Apply appropriate repair strategies
4. Measure: Validate repairs, quantify improvement

Quick Reference