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A conceptual data modelling methodology for asset management data warehousing

Mathew, Avin D., Ma, Lin, & Hargreaves, Douglas J. (2008) A conceptual data modelling methodology for asset management data warehousing. In Gao, Jinji, Lee, Jay, Ni, Jun, Ma, Lin, & Mathew, Joseph (Eds.) World Congress for Engineering Asset Management, 27-30 October 2008, Beijing, China.

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Abstract

In an attempt to turn data management into a profitable enterprise, many businesses are seeking to integrate and centralise their data through data warehousing. A data warehouse then allows businesses to turn data into knowledge, and turn knowledge into tangible profits. One key success factor of a data warehouse lies in its ability to integrate data from multiple sources through a unified data model. Within asset management, several such integrated data models have been proposed, however these individually only cover a limited number of areas within asset management data and are not designed with data warehousing in mind. This paper presents the development process of a novel conceptual data warehousing data model that holistically integrates numerous asset management data areas. The comprehensive ethnographic modelling methodology involves a diverse set of inputs (including data model patterns, standards, information system data models, and business process models) that describes asset management data. The outputs of the process were verified by more than 20 experts in asset management and validated against four case studies.

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ID Code: 15441
Item Type: Conference Paper
Keywords: asset management, data warehousing, conceptual modelling, data modelling, integration
ISBN: 9781848822160
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2008 Springer
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com SpringerLink
Deposited On: 04 Nov 2008
Last Modified: 29 Feb 2012 23:45

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