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Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data

Author

Listed:
  • Anna Golebiowska
  • Weronika Jakubczak
  • Dariusz Prokopowicz
  • Ryszard Jakubczak

Abstract

Purpose: The research aims to characterize newest soultions, especially with the respect to cybersecurity aspects of Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data. Design/Methodology/Approach: The working hypothesis refers to assumption that current regulations and security solutions for Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data is under extreme preassure to meet evergrowing challenges. There are more and more dends form the legal regulators as well as from the market and that creates a lot of problems with data protection. The article uses legal and comparative analysis as well as structural and functional analysis. Additionally, the interpretation method is also present. Findings: Article indicates that the aforementioned issues with the respect to growing importance of internet including the Internet of Things and Internet of Everything are becoming of more and more importance and cannot go with appropriate level of cybersecurity since the data they collect is of the great importance. The trends immanent to Industry 4.0 require from business more effort and customer orientation. Growing population and access to Internet demands larger scales of business operations. Practical Implications: As a result of conducting the research, it is possible to identify threats and present some recommendations for cybersecurity of Business Intelligence. Originality/Value: This is a complete research for Cybersecurity of Business Intelligence analytics based on the processing of large sets of information with the use of sentiment analysis and Big Data.

Suggested Citation

  • Anna Golebiowska & Weronika Jakubczak & Dariusz Prokopowicz & Ryszard Jakubczak, 2021. "Cybersecurity of Business Intelligence Analytics Based on the Processing of Large Sets of Information with the Use of Sentiment Analysis and Big Data," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 850-871.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4:p:850-871
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    References listed on IDEAS

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    3. Celina M. Olszak, 2014. "Business Intelligence In Cloud," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 10(2), pages 115-125, December.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
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    Cited by:

    1. Adrianna Karas, 2023. "Maritime Industry Cybersecurity: A Review of Contemporary Threats," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 921-930.

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    More about this item

    Keywords

    Cybersecurity; critical infrastructure; business intelligence; Big Data.;
    All these keywords.

    JEL classification:

    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • F52 - International Economics - - International Relations, National Security, and International Political Economy - - - National Security; Economic Nationalism
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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