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Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives

Author

Listed:
  • Morshadul Hasan

    (Murdoch Business School, Murdoch University, Perth 6150, Australia)

  • Ariful Hoque

    (Murdoch Business School, Murdoch University, Perth 6150, Australia)

  • Thi Le

    (Murdoch Business School, Murdoch University, Perth 6150, Australia)

Abstract

At present, with the rise of information technology revolution, such as mobile internet, cloud computing, big data, machine learning, artificial intelligence, and the Internet of Things, the banking industry is ushering in new opportunities and encountering severe challenges. This inspired us to develop the following research concepts to study how data innovation impacts banking. We used qualitative research methods (systematic and bibliometric reviews) to examine research articles obtained from the Web of Science and SCOPUS databases to achieve our research goals. The findings show that data innovation creates opportunities for a well-developed banking supply chain, effective risk management and financial fraud detection, banking customer analytics, and bank decision-making. Also, data-driven banking faces some challenges, such as the availability of more data increasing the complexity of service management and creating fierce competition, the lack of professional data analysts, and data costs. This study also finds that banking security is one of the most important issues; thus, banks need to respond to external and internal cyberattacks and manage vulnerabilities.

Suggested Citation

  • Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
    • Handle: RePEc:gam:jfinte:v:2:y:2023:i:3:p:28-509:d:1197460
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    References listed on IDEAS

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