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Finding the four qualities of intelligent industrial reporting

dc.contributor.authorBotes, L.A.
dc.contributor.authorHamer, W.
dc.contributor.authorVan Jaarsveld, S.
dc.contributor.authorKleingeld, M.
dc.contributor.researchID23527986 - Botes, Lee-Ann Alexis
dc.contributor.researchID21639825 - Hamer, Waldt
dc.contributor.researchID11962003 - Kleingeld, Marius
dc.contributor.researchID24887080 - Van Jaarsveld, Stephan
dc.date.accessioned2020-03-09T06:57:31Z
dc.date.available2020-03-09T06:57:31Z
dc.date.issued2019
dc.description.abstractInternationally, innovation and technology are driving change through concepts such as ‘Industry 4.0’. However, due to various constraints, South Africa is lagging behind in this transformation. Furthermore, local industry generates large amounts of data that could contribute to a positive transformation. Data analytics, in the form of reporting, may therefore present a workable alternative to understand better the intricate nature of real-world operations. This paper identifies four qualities for the practical application of data analytics, with the aim of intelligent reporting. The four qualities are focus area, data availability, analytics, and visualisation. Research on each quality shows that they have various levels. A comprehensive literature review supports these findings. Forty studies are included that were selected through a process of relevant research criteria. A case study is presented to show how the four qualities contribute to the development of intelligent reports as an objective representation of industry performanceen_US
dc.description.abstractInternasionaal dryf innovasie en tegnologie verandering deur konsepte soos Industrie 4.0. Weens verskeie beperkings is SuidAfrika egter agter in hierdie transformasie. Verder genereer die plaaslike industrie groot hoeveelhede data wat kan bydrae tot ʼn positiewe transformasie. Data analise, in die vorm van verslaggewing, kan ʼn werkbare alternatief bied om die ingewikkelde aard van werklike prosesse beter te verstaan. Hierdie artikel identifiseer vier kwaliteite vir die praktiese toepassing van data analise met die doel van intelligente verslaggewing. Die vier eienskappe is onderskeidelik fokusarea, beskikbaarheid van data, data analise en visualisering. Navorsing oor elke kwaliteit toon dat hulle uit verskillende vlakke bestaan. ʼn Deeglike literatuurstudie ondersteun hierdie bevindings. Veertig studies is ingesluit wat geselekteer is deur ʼn proses van toepaslike navorsingskriteria. ʼn Gevallestudie word aangebied om te illustreer hoe die vier eienskappe bydrae tot die ontwikkeling van intelligente verslae
dc.identifier.citationBotes, L.A. et al. 2019. Finding the four qualities of intelligent industrial reporting. Presented at the 30th Annual Conference of the Southern African Institute for Industrial Engineering (SAIIE), 30 Sep-2 Oct, Port Elizabeth, South Africa. South African journal of industrial engineering, 30(3):262-276. [https://doi.org/10.7166/30-3-2235]en_US
dc.identifier.issn1012-277X
dc.identifier.issn2224-7890 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/34316
dc.identifier.urihttp://sajie.journals.ac.za/pub/article/view/2235/966
dc.identifier.urihttps://doi.org/10.7166/30-3-2235
dc.language.isoenen_US
dc.publisherStellenbosch Univen_US
dc.titleFinding the four qualities of intelligent industrial reportingen_US
dc.typePresentationen_US

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