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Big Data Analysis Model of Customer Appeal Based on Power Enterprise Service Platform

机译:基于电力企业服务平台的客户诉求大数据分析模型

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Today is the era of Internet information. Affected by economic development and living standards, power users have higher and higher expectations for power supply services. Although customer complaints are inevitable, as an important part of customer feedback in high-quality services, how to use customer complaint information efficiently, reasonably, and scientifically has become a problem that every power grid company must face in the Internet + era. The purpose of this article is to study the big data analysis model of customer demands based on the electric power enterprise service platform. This article first introduces the meaning of customer satisfaction and customer demands, and then analyzes the development status of the power enterprise service platform, and proposes the need to improve customer demand management. Based on this, this article establishes a big data analysis model of customer demands. The experimental results prove that the analysis model designed in this paper can not only solve the needs of power enterprises, but also improve the economic benefits of enterprises. In this paper, the economic benefits obtained from the four indicators of failure repair service, power outage information management norms, business process norms and customer service representatives' work efficiency improvement, and the statistical results of a power company using the model one year later are 5.25 million yuan.
机译:今天是互联网信息时代。受经济发展和人民生活水平的影响,电力用户对供电服务的期望越来越高。尽管客户投诉是不可避免的,但作为高质量服务中客户反馈的重要组成部分,如何有效,合理和科学地使用客户投诉信息已成为每个电网公司在Internet +时代必须面对的问题。本文的目的是研究基于电力企业服务平台的客户需求的大数据分析模型。本文首先介绍了客户满意度和客户需求的含义,然后分析了电力企业服务平台的发展状况,并提出了改善客户需求管理的需求。基于此,本文建立了客户需求的大数据分析模型。实验结果证明,本文设计的分析模型不仅可以解决电力企业的需求,而且可以提高企业的经济效益。本文从故障修复服务,停电信息管理规范,业务流程规范和客户服务代表的工作效率提高四个指标中获得的经济效益以及一年后使用该模型的电力公司的统计结果分别为525万元。

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