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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 3. Data Assessment Scenarios

“We can start measuring only when we know what to measure: qualitative observation has to precede quantitative measurement, and by making experimental arrangements for quantitative measurements we may even eliminate the possibility of new phenomena appearing.”

—Heinrich Casimir, Dutch Physicist (1909–2000)

Purpose

The DQAF was originally developed to describe in-line data quality measurements, those that can be taken as part of data processing, in a data warehouse or other large system on an ongoing basis. In-line measurements can be used for monitoring because they can detect changes to patterns in data. Such measurements can also be used to identify opportunities to improve that quality. The DQAF describes ...

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Publisher Resources

ISBN: 9780123970336