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

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

doi:10.1515/mspe-2017-0021

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 journal › Article › Scientific › peer-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 language	English
Pages (from-to)	143-149
Journal	Management Systems in Production Engineering
Volume	25
Issue number	3
DOIs	https://doi.org/10.1515/mspe-2017-0021
Publication status	Published - 2017
MoE publication type	A1 Journal article-refereed

Keywords

business performance measurements
asset management
big data technologies

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10.1515/mspe-2017-0021Licence: CC BY-NC-ND

S4FLEET: Service Solutions for Fleet Management
Kortelainen, H. & Töytäri, P.
1/01/15 → 31/12/17
Project: Business Finland project

Cite this

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

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Keywords

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S4FLEET: Service Solutions for Fleet Management

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