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Big Data and Business Analytics: Evidence from Egypt

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International Conference on Information Systems and Intelligent Applications (ICISIA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 550))

Abstract

Big data is one of the most valuable assets for businesses seeking to reach the broadest possible customer base. Big data offers significant benefits to corporate financial reporting, increasing its reliability and objectivity and transitioning from periodic to real-time reporting. The purpose of this research is to reveal the effect of big data on profit prediction. The research also investigated the effect of innovative business intelligence techniques and blockchain, as to dimensions of big data, on the disclosure quality of financial reports. A case study was conducted on the data of HSBC bank, which comes from the social networking website (Facebook) as one of the big data sources, to investigate the extent of the ability of big data in the preparation of predictive financial reports accurate. In addition to that, A total of 121 valid questionnaires were tested statistically to investigate the relationship between big data dimensions on the Disclosure quality of financial reports. The research concluded that big data gives businesses a competitive advantage in terms of operational efficiency, risk reduction, cost reduction, and technical and nontechnical innovation. Firms that are able to utilize innovative business intelligence technologies and blockchain database solutions can meet the challenges of big data applications to collect and analyze data in real-time.

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Author information

Authors and Affiliations

  1. Universiti Malaysia Terengganu, Kuala Terengganu, Malaysia

    Ahmed Elmashtawy

  2. Faculty of Commerce, Menoufia University, Shebin El-Kom, Egypt

    Ahmed Elmashtawy & Mohamed Salaheldeen

  3. Universiti Sains Islam Malaysia, Nilai, Malaysia

    Mohamed Salaheldeen

Authors
  1. Ahmed Elmashtawy
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  2. Mohamed Salaheldeen
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Corresponding author

Correspondence to Mohamed Salaheldeen .

Editor information

Editors and Affiliations

  1. The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  2. Sunway University, Selangor, Malaysia

    Mohammed A. Al-Sharafi

  3. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

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Elmashtawy, A., Salaheldeen, M. (2023). Big Data and Business Analytics: Evidence from Egypt. In: Al-Emran, M., Al-Sharafi, M.A., Shaalan, K. (eds) International Conference on Information Systems and Intelligent Applications. ICISIA 2022. Lecture Notes in Networks and Systems, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-031-16865-9_40

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