Many of the University’s activities and decisions rely on data—from planning, admissions, and human resources to scientific research, performance indicators, and rankings.
Therefore, even a minor data error may result in an inaccurate report, an incorrect performance indicator, or a decision based on incomplete information.
Data quality helps to:
- Improve the reliability of reports and indicators.
- Support decision-making.
- Reduce the time spent on correction and review.
- Improve service efficiency.
- Enhance the reliability of data provided to external entities.
- Support institutional planning and development.
High-quality data is not merely a technical outcome; it is a shared responsibility that begins at the data source.