Business Performance Measurements in Asset Management with the Support of Big Data Technologies

Jaime Campos (Corresponding Author), Pankaj Sharma, Erkki Jantunen, David Baglee, Luca Fumagalli

Research output: Contribution to journalArticleScientificpeer-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 charasteristics 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 performance measurements in asset management are discussed in detail. The authors consequently suggest the use of modified Ballanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.
Original languageEnglish
Pages (from-to)143-149
JournalManagement Systems in Production Engineering
Volume25
Issue number3
DOIs
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed

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Business performance
Asset management
Performance measurement
Data mining
Methodology
Scorecard

Keywords

  • business performance measurements
  • asset management
  • big data technologies

Cite this

Campos, Jaime ; Sharma, Pankaj ; Jantunen, Erkki ; Baglee, David ; Fumagalli, Luca. / Business Performance Measurements in Asset Management with the Support of Big Data Technologies. In: Management Systems in Production Engineering. 2017 ; Vol. 25, No. 3. pp. 143-149.
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Business Performance Measurements in Asset Management with the Support of Big Data Technologies. / Campos, Jaime (Corresponding Author); Sharma, Pankaj; Jantunen, Erkki; Baglee, David; Fumagalli, Luca.

In: Management Systems in Production Engineering, Vol. 25, No. 3, 2017, p. 143-149.

Research output: Contribution to journalArticleScientificpeer-review

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