Prompt

Assess and improve data quality systematically.

<dataset_details>
- Source systems: {where data originates}
- Data pipeline: {how it's processed}
- Update frequency: {batch/streaming}
- Business use: {how it's used}
</dataset_details>

<quality_dimensions>
{completeness, accuracy, consistency, timeliness}
</quality_dimensions>

<current_issues>
{known data quality problems}
</current_issues>

Assess quality:
1. Quality metrics
   - Completeness scores
   - Accuracy validation
   - Consistency checks
   - Freshness monitoring
   - Uniqueness verification
   
2. Root cause analysis
   - Issue categorization
   - Source identification
   - Impact assessment
   - Pattern detection
   
3. Quality rules
   - Business rule definition
   - Validation logic
   - Exception handling
   - Automated testing
   
4. Improvement plan
   - Quick wins
   - Long-term fixes
   - Process changes
   - Monitoring setup

Create quality dashboard design.