An organization is systematically examining stored information to find discrepancies with established guidelines. The review focuses on policies, consistency, usage, and compliance. What is this procedure called?
Data integration
Data masking
Data classification
Data auditing
This procedure is a data audit because it involves checking information against established standards to uncover issues with compliance, consistency, and usage. Data masking conceals sensitive information, data integration unifies different data sources into a single dataset, and data classification labels information based on sensitivity. A data audit specifically focuses on systematic review and quality control.
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