Data Integrity vs. Data Quality: How Are They Different?
Precisely
JULY 12, 2024
) If data is to be considered as having quality, it must be: Complete: The data present is a large percentage of the total amount of data needed. Unique: Unique datasets are free of redundant or extraneous entries. Valid: Data conforms to the syntax and structure defined by the business requirements.
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