The role of big data in Industry 4.0 in mining industry in Serbia

• Autorzy: Tylečková Eva , Noskievičová Darja

Identyfikatory

DOI

10.2478/czoto-2020-0020

• Języki publikacji: EN

Abstrakty

EN

The current age characterized by unstoppable progress and rapid development of new technologies and methods such as the Internet of Things, machine learning and artificial intelligence, brings new requirements for enterprise information systems. Information systems ought to be a consistent set of elements that provide a basis for information that could be used in context to obtain knowledge. To generate valid knowledge, information must be based on objective and actual data. Furthermore, due to Industry 4.0 trends such as digitalization and online process monitoring, the amount of data produced is constantly increasing – in this context the term Big Data is used. The aim of this article is to point out the role of Big Data within Industry 4.0. Nevertheless, Big Data could be used in a much wider range of business areas, not just in industry. The term Big Data encompasses issues related to the exponentially growing volume of produced data, their variety and velocity of their origin. These characteristics of Big Data are also associated with possible processing problems. The article also focuses on the issue of ensuring and monitoring the quality of data. Reliable information cannot be inferred from poor quality data and the knowledge gained from such information is inaccurate. The expected results do not appear in such a case and the ultimate consequence may be a loss of confidence in the information system used. On the contrary, it could be assumed that the acquisition, storage and use of Big Data in the future will become a key factor to maintaining competitiveness, business growth and further innovations. Thus, the organizations that will systematically use Big Data in their decision-making process and planning strategies will have a competitive advantage.

Słowa kluczowe

EN

big data; Industry 4.0; data quality; data security

PL

zbiór danych; big data; jakość danych; ochrona danych; Industry 4.0

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2020
• Tom: Vol. 2, nr 1
• Strony: 166--173
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Tylečková Eva

• VŠB – Technical University of Ostrava–Czech Republic

autor

Noskievičová Darja

• VŠB – Technical University of Ostrava–Czech Republic

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).