大数据技术对客户关系管理绩效的影响

N. Taleb, M. Salahat, L. Ali
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引用次数: 4

摘要

大数据是当今热门的商业话题。在商业组织中,客户关系管理(CRM)是获得竞争优势的重要支柱。大数据是指将大数据整合到组织CRM流程中,以实现改善和维持客户服务的目标的实践。大数据的另一个目标是将内部CRM数据与来自组织外部环境的客户行为和购买模式结合起来。有几种工具可以将大数据与其他CRM数据集成,以改进客户分析并了解购买行为和模式。本文报告了一项研究,评估了大数据技术在提高客户关系管理有效利用方面的作用。研究证明,通过分析客户的购买模式,可以增强数据的预测模型。讨论了与实施大数据相关的问题和挑战,并强调了适当实施大数据技术的好处。该研究进一步证明了在客户关系管理中实施大数据技术的一些切实好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of Big-Data Technologies in Enhancing CRM Performance
big data is a hot business topic today. In business organizations, customer-relationship management (CRM) is an important pillar to achieve competitive advantages. Big data refers to practices of integrating big data into an organizational CRM process to achieve the objectives of improving and sustaining customer service. The alternative goal of big data is to combine internal CRM data with customer behavior and buying patterns from the environment external to the organization. Several tools exist that can integrate big data with other CRM data to improve customer analysis and understand buying behavior and patterns. This paper reports research evaluating the role of big-data technology in enhancing the effective use of CRM. Research proves that data’s predictive model is enhanced by analyzing customer buying patterns. Issues and challenges related to the implementation of big data are discussed and benefits of appropriate implementation of big-data technologies are highlighted. The research further demonstrates some tangible benefits of implementing big-data technologies in CRM.
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