How European banks are implementing Big Data Analytics: applications, tools and opportunities

Kuong Feng
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Abstract

The objective of this research paper is to analyze how Indian commercial banks handle big data, which refers to an extremely large data set that requires analysis, management, and validation through traditional data management tools. Purpose: Banks are one of the financial services industries that deal with a vast amount of transaction data, which must be managed, scrutinized, and utilized for the benefit of both the bank and its customers. This study will examine the factors that have a greater impact on banks when handling big data and how analytics can create value for the business.Research methods: Secondary data was collected from various sources such as articles, journals, and websites. The study focuses on big data management, risk management, fraud detection, customer segmentation, and the business value of banking industries. A conceptual framework has been developed to highlight the factors that have a higher impact on big data management in the banking industry. Findings: The findings indicate that big data analytics has a significant impact on the business value of banks, and the factors influencing business value have been identified. Conclusion: By utilizing big data and embracing emerging technologies, companies can enhance the worth of their organization.
欧洲银行如何实施大数据分析:应用、工具和机遇
这篇研究论文的目的是分析印度商业银行如何处理大数据,大数据是指一个非常大的数据集,需要通过传统的数据管理工具进行分析、管理和验证。目的:银行是处理大量交易数据的金融服务行业之一,必须对这些交易数据进行管理、审查和利用,以使银行和客户都受益。本研究将探讨在处理大数据时对银行产生较大影响的因素,以及分析如何为业务创造价值。研究方法:从各种来源收集二手数据,如文章、期刊和网站。该研究的重点是大数据管理、风险管理、欺诈检测、客户细分和银行业的商业价值。一个概念性框架已经被开发出来,以突出对银行业大数据管理有较大影响的因素。研究结果:研究结果表明,大数据分析对银行的商业价值有显著影响,并确定了影响商业价值的因素。结论:通过利用大数据和拥抱新兴技术,公司可以提高其组织的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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