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

Jaime Campos, Pankaj Sharma, Erkki Jantunen, David Baglee, Luca Fumagalli

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of MPMM
Subtitle of host publication6th International Conference on Maintenance Performance Measurement and Management
PublisherLuleå University of Technology
Pages89-95
ISBN (Print)978-91-7583-841-0
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
EventMaintenance Performance Measurement and Management Conference - Luleå Tekniska Universitet, Luleå, Sweden
Duration: 28 Nov 201628 Nov 2016

Conference

ConferenceMaintenance Performance Measurement and Management Conference
Abbreviated titleMPMM
CountrySweden
CityLuleå
Period28/11/1628/11/16

Fingerprint

Business performance
Asset management
Performance measurement
Data mining
Methodology
Balanced score card

Keywords

  • business performance measurements
  • asset management
  • big data technologies

Cite this

Campos, J., Sharma, P., Jantunen, E., Baglee, D., & Fumagalli, L. (2016). Business performance measurements in asset management with the support of big data approach. In Proceedings of MPMM: 6th International Conference on Maintenance Performance Measurement and Management (pp. 89-95). Luleå University of Technology.
Campos, Jaime ; Sharma, Pankaj ; Jantunen, Erkki ; Baglee, David ; Fumagalli, Luca. / Business performance measurements in asset management with the support of big data approach. Proceedings of MPMM: 6th International Conference on Maintenance Performance Measurement and Management. Luleå University of Technology, 2016. pp. 89-95
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Campos, J, Sharma, P, Jantunen, E, Baglee, D & Fumagalli, L 2016, Business performance measurements in asset management with the support of big data approach. in Proceedings of MPMM: 6th International Conference on Maintenance Performance Measurement and Management. Luleå University of Technology, pp. 89-95, Maintenance Performance Measurement and Management Conference, Luleå, Sweden, 28/11/16.

Business performance measurements in asset management with the support of big data approach. / Campos, Jaime; Sharma, Pankaj; Jantunen, Erkki; Baglee, David; Fumagalli, Luca.

Proceedings of MPMM: 6th International Conference on Maintenance Performance Measurement and Management. Luleå University of Technology, 2016. p. 89-95.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AB - 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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Campos J, Sharma P, Jantunen E, Baglee D, Fumagalli L. Business performance measurements in asset management with the support of big data approach. In Proceedings of MPMM: 6th International Conference on Maintenance Performance Measurement and Management. Luleå University of Technology. 2016. p. 89-95