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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    BANKING AND FINANCIAL ANALYTICS – AN EMERGING BIG OPPORTUNITY IN DATA ANALYTICS
    Harpreet Singh Gill, Dr. Sunita Gupta
    Journal of Data Acquisition and Processing, 2023, 38 (2): 703-712 . 

    Abstract

    Big data analytics is a promising new technique. Yet, its implementation and value extraction roadmaps are unknown. This paper explores the interrelations and interdependencies of BDA enablers in the banking and financial services sector. Design/Methodology/Approach: Delphi review, interpretive structural modelling, and fuzzy MICMAC method are used to identify enabler interactions and BDA implementation success. Our integrated strategy uses experts' domain experience to get a fresh insight into enabling causal linkages, language analysis of varying mutual affects, and two creative methods for displaying outcomes. Findings: Our findings emphasise the importance of enabling aspects including skilled and technical labour, financial help, infrastructure preparation, and selecting the right major data solutions. These forces drive many hierarchical enablers. The results provide dependable, straightforward, and robust insights into BDA implementation in banking and monetary service as a whole programme, showing possible affects of all interconnected vital parts. Originality/Value: This paper examines the main BDA enablers in banking and financial services. Operating and dependency degrees indicate element relationships. This study shows managers how to apply BDA well.

    Keyword

    Banking & finance industry, Optimum decision for business promotion, descriptive, predictive, and prescriptive analytics, Business analytics, Competitive advantage for banks.


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ISSN 1004-9037

         

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