Assessing the Value of Data Quality: A Normative Approach - Couverture souple

Mair, Gregor Maximilian

 
9783639454086: Assessing the Value of Data Quality: A Normative Approach
Couverture souple
ISBN 10 : 3639454081 ISBN 13 : 9783639454086
Editeur : AV Akademikerverlag, 2012

Synopsis

In the recent decades data collection and data harvesting were established as useful tools to improve production and sales, to satisfy customers, etc. With vast amounts of data stored and processed the topic of data quality gained importance. Empirical studies show that maintaining good data quality is imperative to fully utilize the potential of data. Today, data management projects schedule huge budgets on data maintenance. Yet, the value of improving data quality remains obscure and intangible. But how can high investments on data maintenance be justified? This work proposes a definition and a normative model to assess the value of data quality according to this definition. Approaches to calculate the normative value of data are adopted to develop a model fully based on theory of probabilities and statistical decision theory. By applying the model to different scenarios the behaviour of the value of data quality, as proposed in this work, is studied in an axiomatic manner. By analysing the results of these studies consequences of bad data quality are illustrated and discussed. Finally, a formal way to assess and rank data quality improvement measures is demonstrated.

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Présentation de l'éditeur

In the recent decades data collection and data harvesting were established as useful tools to improve production and sales, to satisfy customers, etc. With vast amounts of data stored and processed the topic of data quality gained importance. Empirical studies show that maintaining good data quality is imperative to fully utilize the potential of data. Today, data management projects schedule huge budgets on data maintenance. Yet, the value of improving data quality remains obscure and intangible. But how can high investments on data maintenance be justified? This work proposes a definition and a normative model to assess the value of data quality according to this definition. Approaches to calculate the normative value of data are adopted to develop a model fully based on theory of probabilities and statistical decision theory. By applying the model to different scenarios the behaviour of the value of data quality, as proposed in this work, is studied in an axiomatic manner. By analysing the results of these studies consequences of bad data quality are illustrated and discussed. Finally, a formal way to assess and rank data quality improvement measures is demonstrated.

Biographie de l'auteur

DI (FH) in Software Engineering at the Upper Austria Polytechnic University of Hagenberg. Technical student at CERN, Geneva. Research assistant at the Astro- and Particle Physics Institute the University of Innsbruck. MSc in Business Information Systems at the University of Innsbruck. Software quality assurance manager at Swarovski, Wattens.

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

Éditeur
AV Akademikerverlag
Date d'édition
2012
Langue
anglais
ISBN 10 
3639454081
ISBN 13 
9783639454086
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
non disponible