IJBTT

Big Data and Analytics in Financial Services: Transforming Decision-Making and Risk Management
	© 2025 by IJCTT Journal
	Volume-73 Issue-4
	Year of Publication : 2025
	Authors : Vishnupriya S Devarajulu, Sudheer Kumar Lagisetty, Muthu Lakshmi NV
	DOI :  10.14445/22312803/IJCTT-V73I4P108

How to Cite?

Vishnupriya S Devarajulu, Sudheer Kumar Lagisetty, Muthu Lakshmi NV, "Big Data and Analytics in Financial Services: Transforming Decision-Making and Risk Management," International Journal of Computer Trends and Technology, vol. 73, no. 4, pp. 60-62, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I4P108

Abstract
The finance domain has significantly transitioned in recent years due to technological advancements and the rise of big data and analytics technologies and platforms. Hadoop, Elastic Map Reduce, and other techniques have helped financial organizations collect, store, and analyse mammoth amounts of data effectively to make better-informed decisions and enhance overall performance. While these tools enhance decision-making and performance, gaps remain in understanding their strategic implications. In this paper, we investigate the impact of Big data and analytics in the finance industry, emphasising decision making and risk management and various applications of Big data in this domain, such as Credit risk assessment, fraud detection, and client segmentation. We further explore challenges, including regulatory compliance and data integration, and propose a framework for future research.

Keywords
Finance Technology, Big Data Analytics, Hadoop, Financial Data Processing, Elastic Map Reduce.

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