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The Nexus Between Big Data and Decision-Making: A Study of Big Data Techniques and Technologies

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021) (AICV 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1377))

Abstract

Big Data (BD) has shifted the paradigm of conventional data analysis with the exploitation of emerging technologies. Analysis using BD contributes to foreseeing and pulling out value from large data, exposing covert information, and expediting the decision-making process. This study highlights the impression and effect on decision-making through BD. The investigation’s rationale is to dig deep insight into the buzzword to enable stakeholders to understand the challenges and opportunities that BD has bought in the current business scenarios. It also discusses applications of BD-influenced decision-making, along with state-of-the-art BD techniques and technologies. The study is a review article based on the research articles, conference proceedings, books, and web articles available on Google Scholar and Google from the period between 2010 and 2020. Due to BD’s extreme importance, the available techniques and technologies should facilitate effective data collection, storage, analysis, and visualization. Every opportunity comes with greater challenges; this paper summarizes the strengths and weaknesses of different tools associated with three broad categories of BD technologies. This enables researchers to quickly glance at the available tools’ pros and cons in one only place. This emerging field is still very young and premature. Various techniques and technologies have been designed to deal with such humungous data, but they still offer minimal efficacy to deal with BD problems completely. This is high time now that technologists, researchers, and governments pay significant attention to this vast and evolving field by investing their time and money in developing efficient tools that maximize value from it. BD also means big opportunities, big challenges, and big systems; therefore, it also requires big attention from researchers to overcome the research gaps that exist in this big field.

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Authors and Affiliations

  1. Institute of Business Management, CCSIS, Karachi, Sindh, Pakistan

    Rabab Naqvi & Tariq Rahim Soomro

  2. Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

  3. School of Information Technology, Skyline University College, Sharjah, UAE

    Taher M. Ghazal

  4. Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia

    Taher M. Ghazal

  5. Department of Marketing, School of Business, The University of Jordan, Amman, Jordan

    Muhammad Turki Alshurideh

  6. Department of Management, College of Business Administration, University of Sharjah, Sharjah, UAE

    Muhammad Turki Alshurideh

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  1. Rabab Naqvi
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  2. Tariq Rahim Soomro
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  3. Haitham M. Alzoubi
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  4. Taher M. Ghazal
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  5. Muhammad Turki Alshurideh
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Correspondence to Muhammad Turki Alshurideh .

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Editors and Affiliations

  1. Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  3. School of Medicine, University of Missouri, Columbia, MO, USA

    Peter J. Tonellato

  4. ISAE-ENSMA, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  5. British University Vietnam, Hung Yen, Vietnam

    Sam Goundar

  6. Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt

    Ahmad Taher Azar

  7. NEST Research Group, ENSEM, Hassan II University of Casablanca, Casablanca, Morocco

    Essaid Sabir

  8. High National School for Computer Science and Systems Analysis (ENSIAS), Mohammed V University, Rabat, Morocco

    Driss Bouzidi

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Naqvi, R., Soomro, T.R., Alzoubi, H.M., Ghazal, T.M., Alshurideh, M.T. (2021). The Nexus Between Big Data and Decision-Making: A Study of Big Data Techniques and Technologies. In: Hassanien, A.E., et al. Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). AICV 2021. Advances in Intelligent Systems and Computing, vol 1377. Springer, Cham. https://doi.org/10.1007/978-3-030-76346-6_73

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