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Data Analytics Incorporated with Machine Learning Approaches in Finance

In: Data Analytics for Management, Banking and Finance

Author

Listed:
  • Sanjay Goswami

    (United College of Engineering and Research)

  • Jyoti Mishra

    (University of Allahabad, Department of Electronics and Communication)

  • Mahendra Tiwari

    (University of Allahabad, Department of Electronics and Communication)

Abstract

From the last few decades, a huge volume of financial data has been generated from the various heterogeneous sources of financial institutions. This data contains valuable or interesting information not easy or nearly impossible to get manually or using traditional approaches. This key information drives the business, marketing, and financial services very effectively, more economically, and with high growth in less time. This can be achieved through the fusion of data analytics (DA) techniques with finance. The rise of the DA approach from a few decades has had a great impact on the way of research or new findings. This study analyzes the literature available on various applications of DA in finance and develops an understanding for the researchers. This knowledge can utilize to resolve typical issues in the financial and decentralized financial domains and explored new ideas with their models.

Suggested Citation

  • Sanjay Goswami & Jyoti Mishra & Mahendra Tiwari, 2023. "Data Analytics Incorporated with Machine Learning Approaches in Finance," Springer Books, in: Foued Saâdaoui & Yichuan Zhao & Hana Rabbouch (ed.), Data Analytics for Management, Banking and Finance, pages 73-93, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-36570-6_3
    DOI: 10.1007/978-3-031-36570-6_3
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