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Article

Towards a Democratization of Data in the Context of Industry 4.0

1
i4.0MC—Industrie 4.0 Maturity Center GmbH, 52074 Aachen, Germany
2
Institute for Industrial Management at RWTH Aachen University, 52074 Aachen, Germany
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Authors to whom correspondence should be addressed.
Academic Editor: Johannes Winter
Received: 23 May 2022 / Revised: 1 July 2022 / Accepted: 4 July 2022 / Published: 14 July 2022
Data-driven transparency in end-to-end operations in real-time is seen as a key benefit of the fourth industrial revolution. In the context of a factory, it enables fast and precise diagnoses and corrections of deviations and, thus, contributes to the idea of an agile enterprise. Since a factory is a complex socio-technical system, multiple technical, organizational and cultural capabilities need to be established and aligned. In recent studies, the underlying broad accessibility of data and corresponding analytics tools are called “data democratization”. In this study, we examine the status quo of the relevant capabilities for data democratization in the manufacturing industry. (1) and outline the way forward. (2) The insights are based on 259 studies on the digital maturity of factories from multiple industries and regions of the world using the acatech Industrie 4.0 Maturity Index as a framework. For this work, a subset of the data was selected. (3) As a result, the examined factories show a lack of capabilities across all dimensions of the framework (IT systems, resources, organizational structure, culture). (4) Thus, we conclude that the outlined implementation approach needs to comprise the technical backbone for a data pipeline as well as capability building and an organizational transformation. View Full-Text
Keywords: data democratization; Industrie 4.0; fourth industrial revolution data democratization; Industrie 4.0; fourth industrial revolution
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MDPI and ACS Style

Harland, T.; Hocken, C.; Schröer, T.; Stich, V. Towards a Democratization of Data in the Context of Industry 4.0. Sci 2022, 4, 29. https://doi.org/10.3390/sci4030029

AMA Style

Harland T, Hocken C, Schröer T, Stich V. Towards a Democratization of Data in the Context of Industry 4.0. Sci. 2022; 4(3):29. https://doi.org/10.3390/sci4030029

Chicago/Turabian Style

Harland, Tobias, Christian Hocken, Tobias Schröer, and Volker Stich. 2022. "Towards a Democratization of Data in the Context of Industry 4.0" Sci 4, no. 3: 29. https://doi.org/10.3390/sci4030029

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