Data Quality Management

What data quality features are available?

Comprehensive data quality management includes:

Quality Features:

• Validation Rules: Custom rules for data validation
• Cleansing Operations: Automated data cleaning
• Quality Monitoring: Continuous quality assessment
• Error Reporting: Detailed error logs and notifications

Quality Metrics:

• Completeness (missing data percentage)
• Accuracy (data correctness)
• Consistency (data uniformity)
• Validity (adherence to rules)