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2017 | nr 3 (25) | 143--149
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
PL
Pomiary wydajności biznesowej w zarządzaniu aktywami ze wsparciem technologii big data
Języki publikacji
EN
Abstrakty
EN
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.
PL
W artykule przedstawiono pomiar wydajności w dziedzinie zainteresowań. Następnie omawiane są ważne dane dotyczące zarządzania aktywami. W artykule wymieniono również znaczenie i cechy charakterystyczne dla dzisiejszych technologii informacyjno-komunikacyjnych. Szczegółowo omówiono rolę nowych koncepcji, takich jak big data i technologie analityczne dotyczące wyszukiwania danych w zarządzaniu pomiarami wydajności w zarządzaniu aktywami. Autorzy sugerują zastosowanie metodologii zmodyfikowanej Strategicznej Karty Wyników, która podkreśla zarówno aspekty ilościowe, jak i jakościowe, co jest kluczowe dla optymalnego wykorzystania podejścia i technologii big data.
Wydawca

Rocznik
Tom
Strony
143--149
Opis fizyczny
Bibliogr. 41 poz., rys., tab.
Twórcy
autor
  • Informatics Linnaeus University, Faculty of Technology Department of Informatics SE-35195 Växjö, SWEDEN, Jaime.Campos@lnu.se
autor
  • Mechanical Engineering Department, Indian Institute of Technology Delhi, New Delhi 110016 INDIA, Pankajtq@gmail.com
autor
  • VTT Technical Research Centre of Finland Ltd. P.O. Box 1000, FI-02044 VTT, FINLAND, Erkki.Jantunen@vtt.fi
autor
  • Reader in Advanced Maintenance. Faculty of Engineering and Advanced Manufacturing University of Sunderland, St Peters Campus Sunderland SR6 0DD, UNITED KINGDOM, David.Baglee@sunderland.ac.uk
  • Department of Management, Economics and Industrial Engineering Politecnico di Milano Piazza Leonardo da Vinci, 32, 20133 Milano, ITALY, luca1.fumagalli@polimi.it
Bibliografia
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-49a814ec-4402-4713-a669-9abd61a20312
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