Adatminségfejlesztés
Adatminségfejlesztés, often translated as data quality improvement, refers to the systematic process of ensuring the accuracy, completeness, consistency, validity, and timeliness of data. The goal is to enhance the overall usability and reliability of data for various organizational purposes, such as decision-making, reporting, and analytics. This involves identifying data quality issues, understanding their root causes, and implementing strategies to resolve them and prevent their recurrence.
Common data quality dimensions include accuracy, meaning the data reflects the real-world object or event it
The process typically begins with data profiling to assess the current state of data quality. Following this,