The five key metrics often used to measure data quality include:
Accuracy: Ensures data correctly represents the real-world object or event.
Completeness: Verifies that all necessary data is present.
Consistency: Ensures that data is the same across multiple systems or databases.
Timeliness: Confirms that data is up-to-date and available when needed.
Validity: Checks if data conforms to the required formats and standards.
These metrics are essential for maintaining high data quality, which is crucial for effective business operations and decision-making.