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Big Data Applications in Banks: Systematic Review and Future Research Agenda

In: Digital Banking and Finance A Handbook

Author

Listed:
  • Vikesh Kumar
  • Gul Afshan
  • Adnan Manzoor
  • Mansoor Ahmed Khuhro
  • Muhammad Hussain

Abstract

In this chapter, we explain the application of big data in banks through a systematic review, which is done by using the PRISMA method to research articles from the big data literature with the help of a theoretical framework on big data. A few parameters have been set for inclusion, such as selecting papers published from 2010 to the present. Several themes are generated from the findings of the reviewed studies. A Google Scholar search was conducted using the keywords “big data in business” to find articles for this review. The Google Scholar search covered the years 2010–2020. We quickly captured Google Scholar results using Zotero software. The review highlighted three main trends in banks regarding big data applications. First, fraud risk analysis can help banks detect fraud in financial transactions and safeguard them to survive in a competitive environment. Second, we discovered customer analysis using big data analytics. Banks have understood the value of utilizing digital technologies for client acquisition, retention and satisfaction. Finally, there are several facets of operational analysis, such as developing new business models, offering new products and services, increasing efficiency, and reducing costs in the banking sector. To enhance big data research in the banking sector, this study also has implications for researchers and future research agendas.

Suggested Citation

  • Vikesh Kumar & Gul Afshan & Adnan Manzoor & Mansoor Ahmed Khuhro & Muhammad Hussain, 2025. "Big Data Applications in Banks: Systematic Review and Future Research Agenda," World Scientific Book Chapters, in: Christopher E C Gan & Nirosha Hewa-Wellalage & Ahmed Imran Hunjra (ed.), Digital Banking and Finance A Handbook, chapter 8, pages 205-226, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9781800616257_0008
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    Keywords

    FinTech; Digital Era; Financial Industry; Digital Technology; Digital Financial Industry; Digital Finance; Financial Inclusion; Bank Stability; Emerging Economies; Bibliometric Analysis; Digital Finance Revolution; Global Impacts; Digital Innovation; Insurance; Big Data Applications; Digital Assets in Disarray; Forecasting Bitcoin; Machine Learning Approach; Economic Policy Uncertainty; Cryptocurrency; Bank Shares; Digital Age; Corporate Governance; Risks; Rewards; Assets Tokenization; Future of Money; Central Bank Digital Currencies; Bank Innovation; Risk-Taking Perspective;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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