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Data Quality

Data Quality refers to the accuracy, completeness, and reliability of data used in software applications, ensuring that data meets the required standards for decision-making and processing.
Related Terms
Data GovernanceAnomaly DetectionData Driven TestingData Analytics
Why is Data Quality important?
Data Quality is essential for accurate decision-making, process efficiency, and maintaining user trust in software systems.
How is Data Quality maintained?
Data Quality is maintained through data validation, cleansing, and governance processes that ensure data integrity and consistency.