adatkormányzás

Adatkormányzás, often translated as data governance, is a system of rules, policies, standards, processes, and controls that ensures the effective and efficient use of information in an organization. It establishes accountability for data assets, defining who can take what actions, upon what data, in what situations, using what methods. The primary goal of adatkormányzás is to improve data quality, security, usability, and compliance with regulations.

Key components of adatkormányzás include data stewardship, data quality management, data security and privacy, metadata management, and data lifecycle management. Data stewards are individuals responsible for specific data domains, ensuring their quality and compliance. Data quality management involves processes to identify, assess, and correct data errors. Data security and privacy focus on protecting sensitive information and adhering to legal requirements like GDPR. Metadata management deals with the data about data, providing context and definitions. Data lifecycle management covers the entire journey of data from creation to archival or deletion.

Implementing effective adatkormányzás can lead to better decision-making, reduced operational risks, enhanced customer trust, and more efficient data utilization. It requires a strong commitment from leadership and collaboration across different departments within an organization. The complexity of adatkormányzás varies depending on the size and nature of the organization, as well as the types of data it manages.