Adatminségellenrzési
Adatminségellenrzési translates from Hungarian to data quality control. It refers to the processes and methodologies employed to ensure the accuracy, completeness, consistency, validity, and timeliness of data within an organization or system. The primary goal of adatminségellenrzési is to identify and rectify data errors, discrepancies, and inconsistencies that could negatively impact decision-making, operational efficiency, and business outcomes.
Implementing effective adatminségellenrzési involves several key steps. This often begins with defining data quality standards and
The benefits of robust adatminségellenrzési are substantial. High-quality data leads to more reliable analytics, enabling better