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Business Intelligence in Industry 4.0: State of the art and research opportunities

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dc.contributor.author Bordeleau, Fanny-Ève
dc.contributor.author Mosconi, Elaine
dc.contributor.author Santa-Eulalia, Luis Antonio
dc.date.accessioned 2017-12-28T01:58:09Z
dc.date.available 2017-12-28T01:58:09Z
dc.date.issued 2018-01-03
dc.identifier.isbn 978-0-9981331-1-9
dc.identifier.uri http://hdl.handle.net/10125/50383
dc.description.abstract Data collection and analysis have been at the core of business intelligence (BI) for many years, but traditional BI must be adapted for the large volume of data coming from Industry 4.0 (I4.0) technologies. They generate large amounts of data that need to be processed and used in decision-making to generate value for the companies. Value generation of I4.0 through data analysis and integration into strategic and operational activities is still a new research topic. This study uses a systematic literature review with two objectives in mind: understanding value creation through BI in the context of I4.0 and identifying the main research contributions and gaps. Results show most studies focus on real-time applications and integration of voluminous and unstructured data. For business research, more is needed on business model transformation, methodologies to manage the technological implementation, and frameworks to guide human resources training.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 51st Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject The Digital Supply Chain of the Future: Technologies, Applications and Business Models
dc.subject Business Intelligence; Data Analytics, Industry 4.0, Rami 4.0, Smart Factory
dc.title Business Intelligence in Industry 4.0: State of the art and research opportunities
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2018.495
Appears in Collections: The Digital Supply Chain of the Future: Technologies, Applications and Business Models


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