Bordeleau, Fanny-ÈveMosconi, ElaineSanta-Eulalia, Luis Antonio2017-12-282017-12-282018-01-03978-0-9981331-1-9http://hdl.handle.net/10125/50383Data 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.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalThe Digital Supply Chain of the Future: Technologies, Applications and Business ModelsBusiness Intelligence; Data Analytics, Industry 4.0, Rami 4.0, Smart FactoryConference Paper10.24251/HICSS.2018.495