Modern industry deals with large amounts of data, which is often difficult for humans to process and use for decision making. Industry 4.0 proposes the automation of different procedures in enterprises, aiming to reduce human errors, operation time and costs. That includes analysis of different operation parameters in near real time, in order to facilitate management to make the right decisions at the right time. That requires the use of tools that are simple and fast to use and provide the necessary information. The present paper describes an architecture of a Business Intelligence system proposed for a Telecommunications software company. The system draws information from a proprietary ERP and is all developed using free open source software. The architecture proposed uses the power of R for statistical computing, data mining and artificial intelligence. Financial information is shown in a dashboard in near real time.
Fernandes, Bruno; Mendes, Mateus; and Almeida, Jorge Alexandre, "Near Real Time Business Intelligence Framework using R Shiny" (2019). CAPSI 2019 Proceedings. 29.