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

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.