A Meta-model for Data Quality Management Simulation
ISBN
978-1-61738-914-6
Type
conference paper
Date Issued
2009-11-08
Author(s)
Editor(s)
Research Team
CDQ, IWI2
Abstract
Data quality management initiatives could both help to prevent the occurrence of data defects and repair their effect. While such initiatives can reduce overall costs, they also cause costs for their development and implementation. Therefore, the overall aim is not to improve data quality by any means, but to ensure cost-efficiency. The paper proposes a meta-model for simulating data quality management, which can be used for planning of cost-efficient initiatives.
Language
English
Keywords
Corporate Data Quality
Controlling
Corporate Data Quality Scorecard
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of the 14th International Conference on Information Quality, ICIQ 2009
Publisher
Curran
Publisher place
Red Hook, NY
Start page
260
End page
267
Pages
8
Event Title
14th International Conference on Information Quality (ICIQ-2009)
Event Location
Potsdam
Event Date
07.-08.11.2009
Subject(s)
Division(s)
Eprints ID
213630