adatmendzsmentnyilvántartások

Adatmenedzsment (data management) is the discipline of managing data as a strategic asset. It encompasses the policies, processes, and technologies used to acquire, store, organize, share, and protect data throughout its lifecycle to maximize value and mitigate risk. The goal is to ensure data is accurate, accessible, secure, and compliant with relevant laws and standards.

Key components include data governance, which defines decision rights, policies, and accountability; data architecture and modeling, which describe data structures and relationships; data quality management, which monitors and improves accuracy, completeness, consistency, and timeliness; metadata management, which documents definitions, lineage, and usage; and data integration, which enables movement of data between systems through ETL/ELT, APIs, and data pipelines. Master data management focuses on the consistency of core business entities across the organization.

Security and privacy are integral, covering access controls, encryption, data masking, and compliance with regulations such as GDPR or HIPAA. Data retention and lifecycle management address storage, archiving, and disposal. Organization-wide data stewardship and data ownership assign accountability, supported by data catalogs and governance forums.

Benefits include improved decision-making, reduced costs from eliminating data silos, and lower risk from noncompliance. Common challenges are fragmented systems, inconsistent data definitions, and resource constraints. Practices and standards often reference frameworks such as DAMA-DMBOK, and trends include data governance programs, data mesh, and cloud-based data platforms.