Final answer:
A Data Audit is a structured survey that evaluates the accuracy and completeness of data in an information system, helping to identify issues such as data duplication or inaccuracy.
Step-by-step explanation:
A Data Audit is a structured survey of the accuracy and level of completeness of the data in an information system. This process involves systematically reviewing all data sources within an organization, evaluating the data for accuracy, consistency, and completeness, and ensuring that it meets the necessary data quality standards. During a data audit, potential issues such as data duplication, inaccuracy, or outdated information may be identified. It is different from data extraction, which is the process of retrieving specific data from a database, data scrutiny, which could imply a more informal or less systematic investigation of data, and data cleanse, which refers to the process of correcting or removing inaccurate records from a dataset.