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Data hygiene refers to the practices and processes employed to ensure the cleanliness, accuracy, and reliability of data within a database or dataset. Clean and accurate data is crucial for making informed decisions, driving insights, and maintaining the overall health of an organization's information assets. Here are key aspects of data hygiene:

Data Quality Assurance:

1. Accuracy: Ensure that data is free from errors and inaccuracies. Regularly validate and verify data against authoritative sources to maintain its precision.

2. Completeness: Verify that all required data fields are populated and contain the necessary information.

3. Consistency: Ensure uniformity in data formats, units, and terminology across the dataset.

4. Timeliness: Keep data up-to-date to reflect the current state of information.

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10/29/2023

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