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Towards a Framework for Corporate Data Quality Management

ISBN
9-780909-756963
Type
conference paper
Date Issued
2007-12-06
Author(s)
Otto, Boris  
Wende, Kristin
Schmidt, Alexander
Osl, Philipp  
Editor(s)
Toleman, Mark
Cater-Steel, Aileen
Roberts, David
Research Team
IWI2, CDQ
Abstract
Todays market environment requires companies to be able to adapt to new business models and to improve their operational excellence in terms of process efficiency and organisational effectiveness. Agility and flexibility build on high-quality corporate data and powerful corporate data management. This paper proposes a framework for corporate data quality management. The structure of the framework consists of the three layers of Business Engineering (strategy, organisation and information systems) as well as the two perspectives of data management (governance and execution). The scope of the framework is deduced from the state of the art in the domains of IT and data management such as COBIT and ITIL. The framework helps to determine which tasks need to be performed for improving corporate data quality and how they are interrelated. It helps to combine corporate data management to the business objectives of an organisation and to anchor it efficiently within the existing organisational structure.
Language
English
Keywords
Data Governance
CDQ
HSG Classification
not classified
Refereed
Yes
Book title
Proceedings of 18th Australasian Conference on Information Systems
Publisher
The University of Southern Queensland
Publisher place
Toowoomba, Australia
Start page
916
End page
926
Pages
11
Event Title
18th Australasian Conference on Information Systems (ACIS)
Event Location
Toowoomba, Australia
Event Date
05.-07.12.2007
Official URL
https://aisel.aisnet.org/acis2007/109
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/79872
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
67262
File(s)
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Thumbnail Image

open.access

Name

151.pdf

Size

76.27 KB

Format

Adobe PDF

Checksum (MD5)

04fbac4eb183930662cd3e7199a200e0

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