Direct Download How to Measure Data Quailty

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Many examples are provided including one on the value of a single accurate customer profile. Data quality is essential to business success, and we cannot improve what we cannot measure. Learn about the 11 categories for measuring data quality including referential integrity, uniqueness, cardinality, subtype/supertype constructs, value reasonability, consistent value sets, formatting, data derivation, completeness, correctness, and conformance to a clean set of values.
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