大数据分析如何改变金融行业

M. Sazu, S. Jahan
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引用次数: 19

摘要

全球范围内正在发生的数据革命给金融服务行业带来了变革。这些庞大的信息为了解客户需求、寻找洞见和降低风险打开了大门。此外,它还帮助金融服务行业采取行动,以比以前更快的速度提高客户满意度。金融公司可以利用BD开发新的见解,因为他们现在可以收集大量关于客户的数据,他们的消费模式,并为客户提供有益、方便和快速的服务。他们不仅可以为他们的消费者,还可以为他们的内部流程优化扩展这些见解的使用,从而使流程中的每个人受益。虽然BDA对金融服务公司的影响无处不在,但并没有太多的研究发表,以了解金融服务行业的哪些方面可以从技术和BDA的兴起中获益。很少有已发表的研究解决了银行在这个技术时代面临的挑战,如果他们没有实施BD工具。该研究涵盖了2019年1月至2022年1月银行的数据,以解决美国和欧洲几家银行面临客户满意度下降的差距。它揭示了全球金融公司实施BDA以改善服务的最佳方法。本文还将从以下几个方面探讨BDA在银行业的成功应用:消费者行为、渠道使用、消费者支出模式和个人资料创建、基于用户资料的产品交叉销售、反馈和情绪分析、安全交易管理和欺诈等。本研究对银行等金融服务业如何利用BDA提供优质服务有所帮助和贡献。可以对金融行业的其他参与者进行进一步的研究,以了解他们如何受到BDA的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Big Data Analytics is transforming the finance industry
The data revolution happening throughout the world has brought transformation in the financial services sector. This vast information has opened doors to understanding the needs of the customers, finding insights, and lowering risks. In addition, it helps the financial services industry to take actions to improve clients' satisfaction at a faster rate than it was previously possible. Financial firms can develop new insights using BD because they can now collect a large volume of data about their customers, their spending pattern, and provide services that are beneficial, convenient, and quick for the customers. They can expand the use of those insights not only for their consumers but also for their internal process optimization, benefiting everyone in the process. While the impact of BDA on financial service companies is ubiquitous, not so many studies have been published to understand which aspects of the financial services industry could greatly benefit from the rise of technology and BDA. Few published studies address the challenges faced by banks in this technology era if they do not have BD tools implemented. This research covers data from banks from January 2019 to January 2022 to address that gap of a several banks from America and Europe that faced declining customer satisfaction. It uncovers the best methods used by financial firms globally to implement BDA to improve the services. This paper will also look at how BDA has been successfully used in the banking industry, regarding the following elements: consumer behavior, channels use, consumer spending pattern and profile creation, product cross-selling based upon user-profiling, analysis of feedback and sentiment, management of secure transactions, and fraud etc. This study helps find out and makes contributions on how the financial services industry, such as banks, could leverage BDA and provide superior services. Further research could be conducted across other players in the finance industry to learn about how they are impacted by the BDA.
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