Role of Business Analytics in Effective CRM Implementation in Retail Sector: A Cross Sectional Research

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Abstract

Customer relationship management (CRM) continues to evolve and has undergone significant advancements. Major companies are increasingly leveraging automation and artificial intelligence (AI) technologies to gain insights into buying patterns of customer, enhancement of brand communication, and strengthen connections with customers. CRM is employed by organizations as a set of tools, processes, and technologies for tracking, analysing, and collaborating on customer data through the entire lifecycle of customers. This paper researches into the theoretical foundations of Business Analytics (BA), its integral elements, and the advantages it offers. Businesses can achieve their strategic objectives and attain success through the utilization of BA tools. In today's highly competitive market, retailers are putting a strong emphasis on customer intelligence to not only improve relationships but also cut costs. Business Analytics techniques empower companies to strengthen their understanding of customers, boost their knowledge, and ultimately increase turnover. BA plays a crucial role in delivering enhanced customer experiences, thus strengthening the bond between consumers and brands and enhancing brand uniqueness. A sample of 307 was collected from people working in marketing department of retail sector. The factors that determine the role of Role of Business Analytics in Effective CRM Implementation Retail Sector are Customer Segmentation, Performance Tracking, Personalized Marketing, and Customer Feedback Analysis.
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商业分析在零售业有效实施CRM中的作用:一项横断面研究
客户关系管理(CRM)不断发展,并取得了重大进展。大企业越来越多地利用自动化和人工智能(AI)技术来洞察客户的购买模式,增强品牌沟通,加强与客户的联系。CRM作为一套工具、流程和技术被组织采用,用于在客户的整个生命周期中跟踪、分析和协作客户数据。本文研究了商业分析的理论基础、商业分析的基本要素以及商业分析的优势。企业可以通过使用BA工具来实现其战略目标并获得成功。在当今竞争激烈的市场中,零售商非常重视客户情报,不仅可以改善关系,还可以降低成本。商业分析技术使公司能够加强对客户的理解,提高他们的知识,并最终增加营业额。BA在提升客户体验方面发挥着至关重要的作用,从而加强了消费者与品牌之间的联系,增强了品牌的独特性。调查对象为零售业市场营销部工作人员307人。决定商业分析在有效CRM实施中的作用的因素是客户细分、绩效跟踪、个性化营销和客户反馈分析。
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