IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/280834.html
   My bibliography  Save this paper

The role of big data in changing the scope of the modern Indian banking sector

Author

Listed:
  • Mishra, Mukesh Kumar

Abstract

Big data has become a crucial asset for the modern Indian banking sector, driving innovation, improving decision-making, and ultimately enhancing the overall banking experience for customers. As technology continues to advance, the role of big data in banking is likely to evolve, bringing about further improvements in efficiency, security, and customer-centric services. The integration of big data analytics in banking operations has brought about several changes, enhancing efficiency, customer experience, risk management, and decision-making processes. This paper explores the transformative role of big data as a service (BDaaS) and its applications in the Indian banking sector. The study highlights how BDaaS serves as a robust and innovative instrument, contributing significantly to the identification and prevention of security issues and fraudulent behavior within the industry. The experimental results suggest that deploying big data technology is crucial for various aspects, particularly in handling financial risks and managing operational workflows within the banking sector.

Suggested Citation

  • Mishra, Mukesh Kumar, 2023. "The role of big data in changing the scope of the modern Indian banking sector," EconStor Preprints 280834, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esprep:280834
    DOI: 10.13140/RG.2.2.25074.07362
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/280834/1/BIG%20DATA.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.13140/RG.2.2.25074.07362?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Big Data; Banking System;

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:esprep:280834. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.