Data Quality

Data quality measures the accuracy, completeness and consistency of a dataset. Poor quality data leads to unreliable insights. High quality data improves confidence and decision making.

Why it matters

• Ensures trustworthy reporting
• Reduces errors and rework
• Improves the performance of downstream analytics

How it is used

• Automated quality scoring
• Schema validation
• Pipeline alerts for anomalies