Your organization is implementing master data management (MDM) to unify customer information from several source systems. During discovery, analysts realize that no single document lists what each table column means, its data type, or the range of allowed values. To ensure every team interprets the fields consistently before consolidation, which resource should the project manager request?
A repository that outlines each field's details and permissible values for alignment
A framework that arranges data storage according to group policies
A protective standard that secures sensitive data through masking
A process map that shows how files move through different transformations
A Data Dictionary holds attributes and permissible values for fields and provides a shared understanding of the data. The other choices focus on audience-based restrictions, security protocols, or flow diagrams without systematically recording each field's definition and usage.
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Why is a data dictionary important in master data management (MDM)?
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What is the difference between a data dictionary and a data catalog?
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How does a data dictionary prevent errors during data integration?