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  4. Toward a functional reference model for master data quality management
 
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Toward a functional reference model for master data quality management

Journal
Information Systems and e-Business Management
ISSN
1617-9846
Type
journal article
Date Issued
2012-09-01
Author(s)
Otto, Boris  
Hüner, Kai  
Österle, Hubert  
DOI
10.1007/s10257-011-0178-0
Research Team
CDQ, IWI2
Abstract
The quality of master data has become an issue of increasing prominence in companies. One reason for that is the growing number of regulatory and legal provisions companies need to comply with. Another reason is the growing importance of information systems supporting decision-making, requiring master data that is up-to-date, accurate and complete. While improving and maintainingmaster data quality is an organizational task that cannot be encountered by simply implementing a suitable software system, system support is mandatory in order to be able to meet challenges efficiently and make for good results. This paper describes the design process toward a functional reference model for master data quality management (MDQM). The model design process spanned several iterationscomprising multiple design and evaluation cycles, including the model's application in a participative case study at consumer goods manufacturer Beiersdorf. Practitioners may use the reference model as an instrument for the analysis, design and implementation of a company's MDQM system landscape. Moreover, the reference model facilitates evaluation of software systems and supports company-internal and external communication. From a scientific perspective, the reference model is a design artifact; hence it represents a theory for designing information systems in the area of MDQM
Funding(s)
CC Corporate Data Quality (CC CDQ)  
Language
English
Keywords
Stammdatenmanagement
Datenqualitätsmanagement
HSG Classification
not classified
Refereed
Yes
Publisher
Springer
Publisher place
Berlin
Volume
10
Number
3
Start page
395
End page
425
Pages
31
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/91077
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
147397

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