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Measuring data quality for ongoing improvement : a data quality assessment framework /
The Data Quality Assessment Framework shows 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 o...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier Science,
2013.
|
| Colección: | Morgan Kaufmann Series on Business Intelligence.
|
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Sebastian-Coleman, Laura |c (Data quality author and practitioner) | |
| 245 | 1 | 0 | |a Measuring data quality for ongoing improvement : |b a data quality assessment framework / |c Laura Sebastian-Coleman. |
| 260 | |a Burlington : |b Elsevier Science, |c 2013. | ||
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| 490 | 1 | |a The Morgan Kaufmann Series on Business Intelligence | |
| 520 | |a The Data Quality Assessment Framework shows 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. | ||
| 505 | 0 | |a Concepts and definitions -- DQAF concepts and measurement types -- Data assessment scenarios -- Applying the DQAF to data requirements -- A strategic approach to data quality -- The DQAF in dept. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data structures (Computer science) | |
| 650 | 0 | |a Databases |x Quality control. | |
| 650 | 0 | |a Database management. | |
| 650 | 6 | |a Structures de données (Informatique) | |
| 650 | 6 | |a Bases de données |x Gestion. | |
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| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Databases |x Quality control |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Sebastian-Coleman, Laura. |t Measuring Data Quality for Ongoing Improvement : A Data Quality Assessment Framework. |d Burlington : Elsevier Science, ©2013 |z 9780123970336 |
| 830 | 0 | |a Morgan Kaufmann Series on Business Intelligence. | |
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