The importance of Big Data Analytics technology in business management
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Institute of Management of the Warsaw University of Life Sciences
Faculty of Social and Economic Sciences, Cardinal Stefan Wyszyński University in Warsaw
Department of Management, Organisation and Economics at the Faculty of Physical Education, Józef Piłsudski University of Physical Education in Warsaw
Faculty of the University of Social Sciences
These authors had equal contribution to this work
Publication date: 2023-10-31
Cybersecurity and Law 2023;10(2):270–282
Data processing, artificial intelligence and IoT technologies are on the rise. The role of data transfer security systems and databases, known as Big Data, is growing. The main cognitive aim of the publication is to identify the specific nature of Big Data management in an enterprise. The paper uses the bibliographic Elsevier and Springer Link databases, and the Scopus abstract database. The distribution of keywords, drawing attention to four main areas related to research directions, is indicated, i.e., Big Data and the related terms „human”, „IoT” and „machine learning”. The paper presents the specific nature of Big Data together with Kitchin and McArdle’s research, indicating the need for a taxonomic ordering of large databases. The precise nature of Big Data management, including the use of advanced analytical techniques enabling managerial decision-making, was identified. The development of Cyber Production Systems (CPS), based on BD, integrating the physical world of an enterprise with the digitisation of information as the concept of Digital Twins (DTs), was also indicated. CPS offer the opportunity to increase enterprise resilience through increased adaptability, robustness and efficiency. With DTs, manufacturing costs are reduced, the product life cycle is shortened, and production quality increases.
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