What is Data Governance?
Data Governance is a framework of rules, processes and responsibilities for managing data as a strategic asset throughout its lifecycle – ensuring data quality, consistency and appropriate access across all systems.
Technical Definition: A framework of rules, processes and responsibilities for managing data as a strategic asset throughout its lifecycle – from creation to deletion. Technically this includes data definitions (what does a data point mean?), data quality standards, access rights and change management processes.
Why it matters: Without data governance, data quality degrades over time. Maintenance teams create ad-hoc data structures, naming conventions drift, and analytics platforms end up fed with incoherent, unusable data.
HubMind’s view: We establish data governance frameworks at the start of every digitalisation project. It is the invisible infrastructure that determines whether your data investment actually pays off over five years.
External link: DAMA International (Data Management Association).
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