SUNConferences, SAIIE NeXXXt

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FINDING THE FOUR QUALITIES TOWARDS INTELLIGENT INDUSTRIAL REPORTING
Lee-Ann Alexis Botes, Waldt Hamer, Stephan van Jaarsveld, Marius Kleingeld

Last modified: 2019-08-29

Abstract


Internationally, innovation and technology are driving change through concepts such as “Industry 4.0”.  However, due to various constraints, South Africa is lagging in this transformation. Furthermore, local industry generates large amounts of data which could contribute to a positive transformation. Data analytics, in the form of reporting, may therefore present a workable alternative to better understand 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 with regards to each quality shows that they consist of various levels. A comprehensive literature review supports these findings. Forty studies are included which 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 performance.