, Volume 18, Issue 1, pp 5–14 | Cite as

Building an Industry 4.0 Analytics Platform

Practical Challenges, Approaches and Future Research Directions
  • Christoph GrögerEmail author


The ecosystem of big data technologies and advanced analytics tools has evolved rapidly in the last years offering companies new possibilities for digital transformation and data-driven solutions. Industry 4.0 represents a major application domain for big data and advanced analytics in order to exploit the huge amounts of data generated across the industrial value chain. However, building and establishing an Industry 4.0 analytics platform involves far more than tools and technology. In this paper, we report on our practical experiences when building the Bosch Industry 4.0 Analytics Platform and discuss challenges, approaches and future research directions. The analytics platform is designed for more than 270 factories as part of Bosch’s worldwide manufacturing network. We describe use cases and requirements for the analytics platform and present its architecture. On this basis, we discuss practical challenges related to analytical solution development, employee enablement, i. e., citizen data science, as well as analytics governance and present initial solution approaches. Thereby, we highlight future research directions in order to leverage advanced analytics and big data in industrial enterprises.


Data analytics Big data Platform Architecture Citizen data scientist Analytics governance Industrie 4.0 



The author would like to thank Dieter Neumann and Thomas Müller for their valuable comments and continuous support of this work.


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Copyright information

© Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2018

Authors and Affiliations

  1. 1.Robert Bosch GmbHGerlingen-SchillerhöheGermany

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