基于用电侧大数据多维聚类挖掘的营销新增效果评估分析

Evaluation and Analysis of New Marketing Effects Based on Multi-Dimensional Clustering Mining of Big Data on Power Side

近年来,我国大力推行大数据技术,使得大数据在国家电网中有了较为广泛的应用,能够有效促进国家电网公司的良好发展,为智慧电网、数字电网的建设奠定了坚实的基础。在这样的背景之下,我国电网公司应当紧扣“三型两网,世界一流”的战略目标,采取合理的措施解决电力物联网建设中所存在的问题,有效利用大数据技术,来对营销模式进行更新与优化。本文基于用电侧大数据多维聚类挖掘下的营销新增效果评估体系的特点进行探讨,并对其成效进行分析,以供参考。

In recent years,China vigorously promotes big data technology,which makes big data widely used in state grid.It can effectively promote the good development of state grid company and lay a solid foundation for the construction of smart grid and digital grid.In this background,China’s power grid companies should stick to the strategic goal of“three-type and two-network,worldclass”,take reasonable measures to solve the problems existing in the construction of power internet of things,and effectively use big data technology to update and optimize the marketing model.This paper discusses the characteristics of the new marketing effect evaluation system based on the multidimensional clustering mining of big data on the power side and analyzes its effect for reference.