The importance of Big Data Analytics
technology in business management
1
Institute of Management of the Warsaw University of Life Sciences
2
Faculty of Social and Economic Sciences, Cardinal Stefan Wyszyński University in Warsaw
3
Department of Management, Organisation and Economics at the Faculty of Physical Education, Józef Piłsudski University of Physical Education in Warsaw
4
Faculty of the University of Social Sciences
Zaznaczeni autorzy mieli równy wkład w przygotowanie tego artykułu
Data publikacji: 31-10-2023
Cybersecurity and Law 2023;10(2):270-282
SŁOWA KLUCZOWE
STRESZCZENIE
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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| ISSN: | 2658-1493 |
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