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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Business performance measurements in asset management with the support of big data technologies

Campos, Jaime, Sharma, Pankaj, Jantunen, Erikki, Baglee, David and Fumagalli, Luca (2017) Business performance measurements in asset management with the support of big data technologies. In: MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings. Luleå University of Technology, pp. 89-95. ISBN 9789175838410

Item Type: Book Section


The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

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Additional Information: [Conference]: Maintenance, Performance, Measurement & Management (MPMM 2016), Luleå 29-30 November 2016
Related URLs:
Depositing User: Barry Hall


Item ID: 7044
ISBN: 9789175838410
Official URL:

Users with ORCIDS

ORCID for David Baglee: ORCID iD

Catalogue record

Date Deposited: 20 Mar 2017 09:19
Last Modified: 24 Nov 2020 15:30


Author: David Baglee ORCID iD
Author: Jaime Campos
Author: Pankaj Sharma
Author: Erikki Jantunen
Author: Luca Fumagalli

University Divisions

Faculty of Technology


Computing > Information Systems

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