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A Morphology of the Organisation of Data Governance

ISBN
978-952-60-3574-1
Type
conference paper
Date Issued
2011-06-11
Author(s)
Otto, Boris  
Editor(s)
Tuunainen, Virpi
Nandhakumar, Joe
Rossi, Matti
Soliman, W.
Research Team
CDQ, IWI2
Abstract
Both information systems (IS) researchers and practitioners consider data governance as a promisingapproach for companies to improve and maintain the quality of corporate data, which is seen ascritical for being able to meet strategic business requirements, such as compliance or integratedcustomer management. Both sides agree that data governance primarily is a matter of organisation.However, hardly any scientific results have been produced so far indicating what actually has to beorganised by data governance, and what data governance may look like. The paper aims at closingthis gap by developing a morphology of data governance organisation on the basis of acomprehensive analysis of the state of the art both in science and in practice. Epistemologically, themorphology represents an analytic theory, as it serves for structuring the research topic of datagovernance, which is still quite unexplored. Six mini case studies are used to evaluate the morphologyby means of empirical data. Providing a foundation for further research, the morphology contributesto the advancement of the scientific body of knowledge. At the same time, it is beneficial topractitioners, as companies may use it as a guideline when organising data governance.
Language
English
Keywords
Data Governance
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of the 19th European Conference on Information Systems
Publisher
Aalto University, School of Economics
Publisher place
Helsinki
Event Title
19th European Conference on Information Systems (ECIS) 2011
Event Location
Helsinki, Finland
Event Date
09.-11.06.2011
Official URL
http://aisel.aisnet.org/ecis2011/272/
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/93997
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
140907
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