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...
| Cote: | Libro Electrónico |
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| Auteur principal: | |
| Format: | Électronique eBook |
| Langue: | Inglés |
| Publié: |
Burlington :
Elsevier Science,
2013.
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| Collection: | Morgan Kaufmann Series on Business Intelligence.
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| Sujets: | |
| Accès en ligne: | Texto completo |
| Résumé: | 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. |
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| Description matérielle: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780123977540 0123977541 |


