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Measuring Data Quality for Ongoing Improvement A Data Quality Assessment Framework

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ISBN-10: 0123970334

ISBN-13: 9780123970336

Edition: 2013

Authors: Laura Sebastian-Coleman

List price: $49.95
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Description:

Laura Sebastian-Coleman takes a new look at data quality measurement in The Data Quality Measurement Framework (DQMF), showing you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to…    
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Book details

List price: $49.95
Copyright year: 2013
Publisher: Elsevier Science & Technology Books
Publication date: 2/20/2013
Binding: Paperback
Pages: 376
Size: 7.50" wide x 9.25" long x 0.75" tall
Weight: 1.826
Language: English

Laura Sebastian-Coleman, a data quality architect at Optum Insight, has worked on data quality in large health care data warehouses since 2003. Optum Insight specializes in improving the performance of the health system by providing analytics, technology and consulting services. Laura has implemented data quality metrics and reporting, launched and facilitated Optum Insight's Data Quality Community, contributed to data consumer training programs, and has led efforts to establish data standards and manage metadata. In 2009, she led a group of analysts from Optum and UnitedHealth Group in developing the original Data Quality Assessment Framework (DQAF) which is the basis for Measuring Data…    

Introduction
Data Quality: Definitions, Practices, and Problems
Data Quality Measurement
The DQMF: A Standard Model for Data Quality Measurement
Applying the DQMF
Data Quality Measurement within the context of a data quality program