Data Quality and Integrity
Maintaining Reliable Data
High-quality data is essential for accurate reporting and decision-making. Data integrity ensures that information remains accurate, complete, consistent, and trustworthy throughout its lifecycle.
- Accuracy.
- Completeness.
- Consistency.
- Validity.
- Uniqueness.
- Timeliness.
Note
Poor data quality leads to poor business decisions regardless of the quality of software.
Summary
Data quality and integrity ensure organizational information remains reliable and useful.