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

Campos, Jaime, Sharma, Pankaj, Jantunen, Erikki, Baglee, David and Fumagalli, Luca (2017) Business performance measurements in asset management with the support of big data technologies. In: MPMM 2016, Maintenance, Performance, Measurement & Management: conference proceedings. Luleå University of Technology, pp. 89-95. ISBN 9789175838410

[img]
Preview
PDF
Baglee MPMM.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (178kB) | Preview

Search Google Scholar

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.

Item Type: Book Section
Additional Information: [Conference]: Maintenance, Performance, Measurement & Management (MPMM 2016), Luleå 29-30 November 2016
Subjects: Computing > Information Systems
Divisions: Faculty of Technology
Related URLs:
Depositing User: Barry Hall
Date Deposited: 20 Mar 2017 09:19
Last Modified: 24 Nov 2020 15:30
URI: http://sure.sunderland.ac.uk/id/eprint/7044
ORCID for David Baglee: ORCID iD orcid.org/0000-0002-7335-5609

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year