data quality

What are the Best Practices for Ensuring Data Quality?

Several best practices can help ensure high data quality:
Data Governance: Implementing a robust data governance framework to establish policies, procedures, and standards for data management.
Automation: Using automated tools for data entry, validation, and cleansing to reduce human error.
Training: Training employees on the importance of data quality and best practices for maintaining it.
Regular Audits: Conducting regular audits to identify and rectify data quality issues.
Data Stewardship: Appointing data stewards to oversee data quality initiatives and ensure compliance with established standards.

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