Data governance refers to the strategic and operational framework for ensuring the quality, security, availability and accountability of data within an organization. It defines roles, processes and standards to ensure a consistent and reliable database.
In enterprise modernization, data governance is a key success factor, as modern architectures such as data lakes, self-service BI or AI applications only work with high-quality and trustworthy data. Without clear rules for data handling, there is a risk of inefficient processes, wrong decisions and compliance violations.
A company introduces a central data platform that is accessed by several specialist departments. A data governance model with defined data owners, agreed quality standards and automated access controls ensures that data is maintained consistently and interpreted correctly. This is a basic prerequisite for data-driven decisions and innovations.
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