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The paper explained the theoretical concepts and applications of big data analytics in different operational areas of bank risk management. Involving the processing and analyses of massive and heterogeneous data, big data analytics emerged as a powerful tool to extract crucial insights and patterns from financial data. The banking industry witnessed digitization and improvements in technology augmenting data amassment within a very short span. In fact, big data analytics can be a remarkable opportunity for bettering processes in managing risks.

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Big Data Analytics in Banks Financial Risk Management: Theory and Applications

  • 章节

  • 发表日期：

    2025年

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  • T. S. Raaja Justin,
  • Kanniga Prashanth,
  • N. Sunder Rajan,
  • M. Krishnamoorthi,
  • P. Venkatesh,
  • M. Biju

摘要

The paper explained the theoretical concepts and applications of big data analytics in different operational areas of bank risk management. Involving the processing and analyses of massive and heterogeneous data, big data analytics emerged as a powerful tool to extract crucial insights and patterns from financial data. The banking industry witnessed digitization and improvements in technology augmenting data amassment within a very short span. In fact, big data analytics can be a remarkable opportunity for bettering processes in managing risks.