o:1663 Toward Real-Time Data Analytics Application for Industry 4.0 en The Industry 4.0 is moving the production towards smart production systems, based on new technologies (i.e. Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence). Companies rightfully have high expectations of Industry 4.0. However, one of the major obstacles is how to transform reactive, via proactive, to predictive production systems. The predictive production systems are new type of intelligent production systems that enable the implementation of new technologies for discovering hidden information in the raw production data, this way enabling prediction and prevention of errors that could occur in production. The discovery of hidden information in the raw data is enabled by the real-time predictive data analytics on the basis of which the real-time decision making models are applied in the production system. The present study proposes a conceptual framework for real-time data analytics for Industry 4.0. The framework is developed based on the analysis of the available literature and informed with direct experience in implementing Industry 4.0 technologies in practice. Real-time data analytics; Industry 4.0; Predictive production systems 2023-04-12T11:37:35.098Z 44 yes 46 Bojana Bajić Fakultet tehničkih nauka 0000-0001-7843-7091 Nikola Suzić University of Padova person 0000-0003-0755-9774 Nenad Simeunović Fakultet tehničkih nauka person Slobodan Morača Fakultet tehničkih nauka person 0000-0001-6174-1038 Aleksandar Rikalovic Fakultet tehničkih nauka person 0000-0003-2777-5706 application/pdf 746604 https://unilib.phaidrabg.rs/o:1663 no yes 1 70 92000004 Proceedings on 18th International Conference on Industrial Systems–IS’20: Industrial Innovation in Digital Age 71 78 Springer 2022-05-24