天然气客户聚类模型研发  

Clustering Model Development of Natural Gas Consumers

作　　者：隋毅 杜宗格 SUI Yi;DU Zongge(Kunlun Digital Technology Co.,Ltd.)

机构地区：[1]昆仑数智科技有限责任公司

出　　处：《油气与新能源》2021年第2期67-71,共5页Petroleum and new energy

摘　　要：在我国天然气管网的逐步完善和天然气销售市场化改革的不断推进过程中,天然气销售企业将围绕天然气客户资源展开激烈的市场竞争。为进一步提升客户精细化管理水平,基于天然气客户标签,从客户基本特征、消费行为特征、计划执行特征等维度建立客户画像,有助于实现360°全方位客户洞察。在客户画像分析的基础上,通过数据挖掘构建K-means客户聚类模型,实现有效客户分群,从而能够针对不同客群的购气特征,提供更有针对性的营销和服务,提升客户满意度,实现企业与客户的共赢。With China’s gradually improved natural gas pipeline networking and progressive market-oriented gas sale reform,natural gas dealers will confront fierce market competition for consumer resources.To further streamline the management of consumers by effective consumer grouping,a K-means consumer clustering model is constructed by data mining based on the analysis of consumer profiles.The profiles are created for a all-round 360 degree observation based on the consumer tags enveloping basic data and consumption as well as plan-implementation behaviors.The successful grouping makes possible the niche marketing and services to satisfy more gas consumers and achieve the win-win goal.

关 键 词：天然气 客户标签 客户聚类 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]