Maintaining information about data origin, structure and definitions to support informed business decisions describes which data discipline?

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Multiple Choice

Maintaining information about data origin, structure and definitions to support informed business decisions describes which data discipline?

Explanation:
Understanding what metadata is and why metadata management matters. Metadata describes data—the who, what, where, when, and how of it. Keeping metadata up to date and well governed means maintaining information about data origin, structure, and definitions (such as data dictionaries and business glossaries). This contextual information lets analysts discover relevant data quickly, interpret it consistently, assess its suitability for a decision, and trust its lineage. That focus on organizing, governing, and maintaining metadata assets is what metadata management is all about. By contrast, data provenance concentrates primarily on tracing data origins and transformations, data quality targets the accuracy and reliability of data, and data strategy is about the broader plan for using data across the organization.

Understanding what metadata is and why metadata management matters. Metadata describes data—the who, what, where, when, and how of it. Keeping metadata up to date and well governed means maintaining information about data origin, structure, and definitions (such as data dictionaries and business glossaries). This contextual information lets analysts discover relevant data quickly, interpret it consistently, assess its suitability for a decision, and trust its lineage. That focus on organizing, governing, and maintaining metadata assets is what metadata management is all about. By contrast, data provenance concentrates primarily on tracing data origins and transformations, data quality targets the accuracy and reliability of data, and data strategy is about the broader plan for using data across the organization.

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