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20131127093000.0 |
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130530s2013 mau eng |
| 020 |
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|a 0123970334 (paperback : alk. paper)
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|a 0123977541 (ebook)
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|a 9780123970336 (paperback : alk. paper)
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|a 9780123977540 (ebook)
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| 050 |
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|a QA76.9.D35
|b S43 2013
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| 090 |
0 |
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|a QA76.9.D35
|b S43 2013
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| 100 |
1 |
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|a Sebastian-Coleman, Laura ,
|e author
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|a Measuring data quality for ongoing improvement :
|b a data quality assessment framework
|c Laura Sebastian-Coleman
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| 260 |
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|a Waltham, Massachusetts :
|b Morgan Kaufmann ,
|c c2013
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| 300 |
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|a xxxix, 324 p. :
|b ill. ;
|c 24 cm.
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| 504 |
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|a Includes bibliographical references (p. 313-318) and index
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|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
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| 520 |
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|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
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| 650 |
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|a Data structures (Computer science)
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| 650 |
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|a Database management
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| 650 |
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|a Databases
|x Quality control
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| 999 |
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|a 1000159010
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
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