Paper Contents
Abstract
The banking industry has undergone substantial transformations, adapting to the evolving needs of an expanding global population and the surge in online transactions. This shift has generated vast amounts of data, prompting banks worldwide, including those in the US, to leverage Big Data Analytics (BDA) for enhanced operational efficiency and strategic decision-making. This paper explores the paradigm shift in the banking sector from a traditional credit risk management approach to a holistic risk management methodology. Banks today grapple with risks emanating from diverse systems and channels, necessitating sophisticated data analysis and interpretation. Big data technology emerges as a pivotal tool for managing this complex data landscape, offering insights and efficiency crucial for effective risk management applications.This analysis delves into the architecture of a banking credit investigation and integrated risk management system based on big data principles. Through thorough comparisons and analyses, the study demonstrates the superior performance of the proposed system. The findings unequivocally indicate that the integration of big data analytics has significantly improved efficiency and security in credit investigation and risk management within the banking industry. This research contributes to our understanding of the transformative impact of big data in shaping the future of banking operations.Keywords-Big Data Analytics (BDA), Credit Investigation, banking, transactions, Commercial Banking
Copyright
Copyright © 2024 Dr Burra Ramanuja Srinivas. This is an open access article distributed under the Creative Commons Attribution License.
