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Measuring Data Quality for Ongoing Improvement
book

Measuring Data Quality for Ongoing Improvement

by Laura Sebastian-Coleman
December 2012
Intermediate to advanced content levelIntermediate to advanced
376 pages
13h 56m
English
Morgan Kaufmann
Content preview from Measuring Data Quality for Ongoing Improvement

Section 4. Applying the DQAF to Data Requirements

“Whether you can observe a thing or not depends on the theory which you use. It is the theory which decides what can be observed.”

—Albert Einstein, 1879–1955

Data quality measurement requires defining the characteristics of high-quality data and assessing data against these characteristics. The process of defining specific quality metrics involves understanding data content, including the relative criticality of different data elements and rules, identifying business expectations related to data use, and assessing processes for risks to data. DQAF measurement types describe different ways to measure data completeness, timeliness, validity, consistency, and integrity. The assessment scenarios ...

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Publisher Resources

ISBN: 9780123970336