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

    Fingerprint

    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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