Identification of Business Oriented Data Quality Metrics
ISBN
978-1-61738-914-6
Type
conference paper
Date Issued
2011-11-07
Author(s)
Editor(s)
Research Team
CDQ, IWI2
Abstract
Corporate data of poor quality can have a negative impact on the performance of business processes and thereby the success of companies. Similar to machine tools corporate data show signs of wear (imaging a moving customer with a new address, for example) and have to be monitored continuously for quality defects. Effective quality control of corporate data requires metrics that monitor potential data defects with the most significant impact on the performance of a company's processes. However, due to company specific success factors and IT landscapes, it is hardly possible to provide generic metrics that can be implemented without any adjustment. This paper presents a method for the identification of business oriented data quality metrics. The presented approach takes into account company specific requirements from both a business and an IT perspective. The method's design and evaluation process is discussed in the context of three real-world cases.
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
122
End page
134
Pages
13
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
71586