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▐██▌ September 2017
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█ How to Measure Data Quailty
█
▄
█ by William McKnight
█ Publisher: Technics Publications
▓ Release Date: August 2017
▒ Running time: 00:40:07
▒ Topic: Analytics
░
░ Size: 02x50mb
░ Course Description: William McKnight will show you how to define data
quality expectations, profile data against these
expectations, measure data quality impact across
various thresholds, and how to use these
measurements to improve the organizationÆs bottom
line. 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.