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Business performance measurements in asset management with the support of big data technologies
Linnaeus University, Faculty of Technology, Department of Informatics. (Informatics)ORCID iD: 0000-0001-7048-8089
Indian Institute of Technology (IIT) Delhi, India.
VTT Technical Research Centre of Finland Ltd, Finland.
University of Sunderland, UK.
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2016 (English)In: Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden / [ed] Diego Galar, Dammika Seneviratne, Luleå University of Technology, 2016, 89-95 p.Conference paper, (Refereed)
Abstract [en]

The paper reviews the performancemeasurement in the domain of interest. Important data in assetmanagement are further, discussed. The importance and thecharacteristics of today’s ICTs capabilities are also mentionedin the paper. The role of new concepts such as big data anddata mining analytical technologies in managing theperformance measurements in asset management are discussedin detail. The authors consequently suggest the use of themodified Balanced Scorecard methodology highlighting bothquantitative and qualitative aspects, which is crucial foroptimal use of the big data approach and technologies.

Place, publisher, year, edition, pages
Luleå University of Technology, 2016. 89-95 p.
Keyword [en]
business performance measurements, asset management, big data technologies
National Category
Computer Systems Other Engineering and Technologies
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-61461ISBN: 978-91-7583-841-0 (electronic)OAI: oai:DiVA.org:lnu-61461DiVA: diva2:1082883
Conference
MPMM 2016 : 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden
Available from: 2017-03-19 Created: 2017-03-19 Last updated: 2017-03-20Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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