adatminségétl
adatminségétl is a term used in Hungarian-language discussions of data management to describe a holistic framework for assessing and improving data quality. It refers to the set of processes, standards, and governance activities that ensure data are accurate, complete, timely, consistent, and usable across an organization. The term appears to be a coined word combining adat (data) and minőség (quality), and is not part of any formal, internationally standardized vocabulary.
A typical adatminségétl framework comprises three interrelated components: data quality assessment, governance, and improvement. Data quality
Applications include enterprise data warehouses, analytics platforms, master data management, and regulatory reporting. Common challenges are
While adatminségétl is used in practice, it lacks a single, formal definition and varies by organization. It