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4 Critical Elements of a Successful Data Governance Program
An effective data governance process requires structured change management and clearly defined roles. Proposed changes begin with a user submitting a standardized request, which is then reviewed by a panel of data stewards for approval before implementation and publication. Data stewards play a critical role in maintaining metadata, ensuring data accuracy, and upholding quality standards above defined thresholds. They also manage data dictionaries and provide guidance on dataset ownership and maintenance. Clear documentation of roles, responsibilities, and data interactions ensures accountability, supports consistency, and establishes a reliable framework for maintaining data quality and governance across the organization.
