使用预测分析的战略规划客户体验印度PT电信

Shandy Asri Achmad, Pratami Anggina, P. Rudito
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引用次数: 1

摘要

-通过创新和颠覆快速变化的行业来实现电信转型范式是目前的主要挑战。存在外部挑战,例如改变客户行为和关注客户和业务增长的高绩效客户体验(CX)行业。在PT Telkom本身,内部挑战是财务业绩呈下降趋势,净推荐值(NPS)低于全球最佳基准。我们的目标是将客户体验提升为公司的战略重点,让所有利益相关者参与进来,实现客户体验转型。PT Telkom每年都会做净推荐值和净情感价值(NEV)来衡量公司客户关系的忠诚度和与收入增长相关的客户满意度。作者从PT Telkom Indonesia 2014 - 2018年NPS和NEV报告的二手数据中获取模型,重点关注Telkom Regional 3 West Java,并分配关系和满意度维度和属性。使用预测分析是一种分析当前和历史事实,对未来做出预测的方法,以确定准确的策略,并可以根据适当的相关性水平改善客户体验。从NPS和新能源汽车报告的维度和属性进行预测分析,使用相关和回归。基于这种分析的事实发现将是一种强烈的相关性属性,这将成为与公司战略一致的客户体验战略规划的关键。这种统计处理的强相关性属性是安装过程长,技术人员友好,易于访问。然后,客户体验的战略规划是从预测分析的结果与其他电信公司的基准相结合,提出端到端客户旅程的战略方案,并集成到后端系统,数字化和数字生态系统将受到影响,并给出一个结果业务和收入。
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Strategic Planning Customer Experience using Predictive Analysis Indihome PT Telkom
― Telkom transformation paradigm by Innovating and disrupting the fast-changing industry is the main challenge right now. There is external challenging such as changing customer behavior and high performing Customer Experience (CX) focused industries that seeing customer and business growth. In PT Telkom itself, internal challenges there is a financial performance on a decreasing trend and for Net Promoter Score (NPS) is below best in class benchmark globally. The objective is elevating CX as a corporate strategic priority, engaging all stakeholders to achieve CX transformation. PT Telkom every year doing Net Promoter Score and Net Emotional Value (NEV) to measuring the loyalty of a firm's customer relationships and customer satisfaction that correlated with revenue growth. The author takes the model from secondary data from NPS and NEV Report from 2014 – 2018 of PT Telkom Indonesia, focused in Telkom Regional 3 West Java and assign relationship and satisfaction dimension and attribute. Using predictive analytics is a method that analyzing current and historical facts to make predictions about the future to determine an accurate strategy and can improve customer experience based on the appropriate level of correlation. From NPS and NEV report the dimensions and attributes are processed by predictive analysis using correlation and regression. The fact-finding that based on that analytics will be a strong correlation attributes that would become the key to strategic planning for a customer experience that in a lining with corporate strategy. The strong correlation attribute from this statistical processing is the installation process is long, friendliness of the technician, and ease of accessing points. Then the strategic planning for customer experience is from the result from predictive analytics combine with benchmarking with other telco’s company to propose strategic program end-to-end customer journey and integrated to back end system, digitalization and digital ecosystem will be impacted and gave a result business and revenue.
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