The practitioner's guide to data quality improvement
There is no question that poor data quality is a problem pervasive across numerous industries and organizations. According to the 2006 Data Warehousing Institute report on enterprise data quality, nearly half of survey respondents claim that the quality of their data is ""worse than everyo...
| Autor principal: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Burlington, MA :
Morgan Kaufmann
2010.
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| Edición: | 1st edition |
| Colección: | MK/OMG Press
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628166306719 |
| Sumario: | There is no question that poor data quality is a problem pervasive across numerous industries and organizations. According to the 2006 Data Warehousing Institute report on enterprise data quality, nearly half of survey respondents claim that the quality of their data is ""worse than everyone thinks."" The number of respondents saying that their organization had suffered losses, problems, or costs due to poor data quality grew from 44% in 2001 to 53% in 2005. Thankfully, in recent years, these same respondents have claimed on new focus on data quality and the need to do something about it. Here |
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| Notas: | Description based upon print version of record. |
| Descripción Física: | 1 online resource (423 p.) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781282878525 9786612878527 9780080920344 |
