Articles liés à Data Quality: Data quality, Business operations, Decision...

Data Quality: Data quality, Business operations, Decision making, Planning, Joseph M. Juran, Identity resolution, Information quality, Data profiling, ... Master Data Management, Noisy text analytics - Couverture souple

 
9786130630423: Data Quality: Data quality, Business operations, Decision making, Planning, Joseph M. Juran, Identity resolution, Information quality, Data profiling, ... Master Data Management, Noisy text analytics
Couverture souple
ISBN 10 : 6130630425 ISBN 13 : 9786130630423
Editeur : Alphascript Publishing, 2010

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning". Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. Furthermore, apart from these definitions, as data volume increases, the question of internal consistency within data becomes paramount, regardless of fitness for use for any external purpose, e.g. a person's age and birth date may conflict within different parts of a database. The first views can often be in disagreement, even about the same set of data used for the same purpose. This article discusses the concept as it related to business data processing, although of course other data have various quality issues as well.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning". Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. Furthermore, apart from these definitions, as data volume increases, the question of internal consistency within data becomes paramount, regardless of fitness for use for any external purpose, e.g. a person's age and birth date may conflict within different parts of a database. The first views can often be in disagreement, even about the same set of data used for the same purpose. This article discusses the concept as it related to business data processing, although of course other data have various quality issues as well.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Alphascript Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
6130630425
ISBN 13 
9786130630423
Reliure
Tapa blanda
Nombre de pages
84
Éditeur
Miller Frederic P., Vandome Agnes F., McBrewster John
Coordonnées du fabricant
non disponible
Personne responsable
non disponible