Measuring data quality for ongoing improvement : a data quality assessment framework

Shows you how to measure and monitor data quality, ensuring quality over time. This title demonstrates how to leverage a technology independent data quality measurement framework for specific business priorities and data quality challenges. It enables discussions between business and IT with a non-t...

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Bibliographic Details
Main Author: Sebastian-Coleman, Laura (Author)
Format: Book
Language:English
Published: Waltham, Massachusetts : Morgan Kaufmann , c2013
Subjects:

MARC

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005 20131127093000.0
008 130530s2013 mau eng
020 |a 0123970334 (paperback : alk. paper) 
020 |a 0123977541 (ebook) 
020 |a 9780123970336 (paperback : alk. paper) 
020 |a 9780123977540 (ebook) 
050 0 0 |a QA76.9.D35   |b S43 2013 
090 0 0 |a QA76.9.D35   |b S43 2013 
100 1 |a Sebastian-Coleman, Laura ,   |e author 
245 1 0 |a Measuring data quality for ongoing improvement :   |b a data quality assessment framework   |c Laura Sebastian-Coleman 
260 |a Waltham, Massachusetts :   |b Morgan Kaufmann ,   |c c2013 
300 |a xxxix, 324 p. :   |b ill. ;   |c 24 cm. 
504 |a Includes bibliographical references (p. 313-318) and index 
505 0 |a 1. Data -- 2. Data, people, and systems -- 3. Data management, models, and metadata -- 4. Data quality and measurement -- 5. DQAF concepts -- 6. DQAF measurement types -- 7. Initial data assessment -- 8. Assessment in data quality improvement projects -- 9. Ongoing measurement -- 10. Requirements, risk, criticality -- 11. Asking questions -- 12. Data quality strategy -- 13. Directives for data quality strategy -- 14. Functions of measurement: collection, calculation, comparison -- 15. Features of the DQAF measurement logical model -- 16. Facets of the DQAF measurement types 
520 |a Shows you how to measure and monitor data quality, ensuring quality over time. This title demonstrates how to leverage a technology independent data quality measurement framework for specific business priorities and data quality challenges. It enables discussions between business and IT with a non-technical vocabulary for data quality measurement 
650 0 |a Data structures (Computer science) 
650 0 |a Database management 
650 0 |a Databases   |x Quality control 
999 |a 1000159010   |b Book   |c OPEN SHELF (30 DAYS)   |e Tembila Campus