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

dc.contributor.authorBordeleau, Fanny-Ève
dc.contributor.authorMosconi, Elaine
dc.contributor.authorSanta-Eulalia, Luis Antonio
dc.date.accessioned2017-12-28T01:58:09Z
dc.date.available2017-12-28T01:58:09Z
dc.date.issued2018-01-03
dc.description.abstractData 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.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.495
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50383
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectThe Digital Supply Chain of the Future: Technologies, Applications and Business Models
dc.subjectBusiness Intelligence; Data Analytics, Industry 4.0, Rami 4.0, Smart Factory
dc.titleBusiness Intelligence in Industry 4.0: State of the art and research opportunities
dc.typeConference Paper
dc.type.dcmiText

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