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Please use this identifier to cite or link to this item: http://dspace.vgtu.lt/handle/1/2771

Title: Sustainable development, Big Data and supervisory control: service quality in banking sector
Authors: Fuschi, David Luigi
Tvaronavičienė, Manuela
Keywords: Big Data
Banking sector
Software reliability assessment
Sustainable development
Issue Date: 2014
Publisher: Vilnius : Generolo J.Žemaičio LKA
Citation: Fuschi, D.L.; Tvaronavičienė, M. 2014. Sustainable development, Big Data and supervisory control: service quality in banking sector, Journal of security and sustainability issues. Vilnius : Generolo J.Žemaičio LKA. 3(3): 5-14
Series/Report no.: 3;3
Abstract: Sustainable development process is affected by contemporary phenomena. Big Data processing inefficiency is detrimental for banks’ activity excellence. The software used for running and handling the interbank network framework provides services with extremely strict uptime (above 99.98 percent) and quality requirements, thus tools to trace and manage changes as well as metrics to measure process quality are essential. Having conducted a two year long campaign of data collection and activity monitoring it has been possible to analyze a huge amount of process data from which many aggregated indicators were derived, selected and evaluated for providing a managerial dash-board to monitor software development. The paper provides insights about the issues related to Big Data processing inefficiencies. Context of sustainable development is being taken into account.
URI: http://dspace.vgtu.lt/handle/1/2771
ISSN: 2029-7017
Appears in Collections:Moksliniai straipsniai / Research articles

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