Data Completeness: Definition, Testing, & Quality Assurance
(Updated) Not all data is good quality, and a common driver of poor quality is a lack of data completeness. Completeness is one of 10 standards for data quality: Accessibility, Accuracy, Comparability, Consistency, Credibility, Relevance, Timeliness, Uniqueness, Reasonableness, and Completeness In a sentence, data completeness is the percent of all required data currently available in […]
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