How financial firms can leverage big data analytics for developing strong consumer loyalty

M. Sazu, S. Jahan, Daniul Thomas Isenberg
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Abstract

A powerful technological shift and altered consumer expectations influence the banking industry in USA. Banks have far more data about their customers than other industries. Innovative solutions and methods have been created on the basis of mathematical statistical versions. This knowledge is used to focus on the buyer, and it is termed as "Accounts" and "Big Data" also to have the ability to offer items that fit exactly from the info gained. The primary reason for this particular analysis is to investigate how "Big Data Analytics " could be discussed and utilized as a renewable client loyalty instrument. The examination of the subject is carried out in the following rational order: Background, research question, and introduction, hypotheses and methods, conclusion and discussion, directions and limitations for more research. When working with Big Data Analytics, you will find various perspectives, e.g. from the bank's perspective and from the bank client's point of view. To answer the question of renewable client loyalty from the consumer perspective, the connection between Analytics and "Big Data" and the concepts of client advisory will be investigated. This particular newspaper provides the end result of an empirical evaluation based on a survey from September 2021 in USA.
金融公司如何利用大数据分析来培养强大的消费者忠诚度
强大的技术变革和消费者期望的改变影响着美国的银行业。银行比其他行业拥有更多的客户数据。在数学统计版本的基础上创造了创新的解决方案和方法。这些知识被用来关注买家,它被称为“账户”和“大数据”,也有能力提供与所获得的信息完全匹配的商品。这一特殊分析的主要原因是调查如何将“大数据分析”作为一种可更新的客户忠诚度工具进行讨论和利用。本课题的审查按照以下合理的顺序进行:背景、研究问题和介绍、假设和方法、结论和讨论、进一步研究的方向和局限性。当使用大数据分析时,你会发现不同的视角,例如从银行的角度和从银行客户的角度。为了从消费者的角度回答可再生客户忠诚度的问题,分析和“大数据”之间的联系以及客户咨询的概念将被调查。本报以2021年9月开始在美国进行的调查为基础,进行了实证评价。
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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