大数据技术在电力营销客户细分中的实践  

The Practice of Big Data Technology in Electricity Marketing Customer Segmentation

作　　者：庹勇 孟虎 TUO Yong;Meng Hu(State Grid Hubei Electric Power Company Limited,Shiyan Power Supply Company,Shiyan Hubei 442000,China)

机构地区：[1]国网湖北省电力有限公司十堰供电公司,湖北十堰442000

出　　处：《信息与电脑》2024年第22期168-170,共3页Information & Computer

摘　　要：在电力市场竞争日益激烈与数字化飞速发展的背景下,实现精准营销成为电力企业的主要需求。研究围绕大数据技术在电力营销客户细分中的实践展开,内容涵盖了多源数据采集整合、客户细分模型构建,以及不同客户群体应用策略及效果评估,运用了数据分析、模型构建等方法,有助于电力企业优化营销,增强竞争力,以推动行业智能化发展。In the context of increasingly fierce competition in the electricity market and rapid development of digitalization,achieving precise marketing has become a major need for power companies.The study centers on the practice of big data technology in power marketing customer segmentation,covering the integration of multi-source data collection,the construction of customer segmentation models,as well as the application strategy and effect evaluation of different customer groups,using data analysis,model construction,and other methods,which can help electric power enterprises optimize their marketing and enhance their competitiveness,in order to promote the development of the industry’s intelligence.

关 键 词：大数据技术 电力营销 客户细分 精准营销 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]