基于ClickHouse数据库实现加能站大数据客户画像分析

Implementing Big Data Customer Profile Analysis Based on ClickHouse Database

以石油销售行业为例,传统的客户画像分析方法在数据存储和计算时效率低、处理过程复杂,提出了一种高效精准的客户画像分析方法——ClickHouse列式存储数据库。介绍了该数据库的优点及数据采集和清洗、存储和管理、分析和计算以及精细化营销应用,针对客户群体的基本属性和交易行为,设计多维度层面的不同类别标签,并应用条件标签的组合,快速而准确地筛选出特定的客户群体,实际应用表明:该数据库可以为精细化的营销和个性化的服务提供依据和支持。

Taking the petroleum sales industry as a case,traditional customer profile analysis methods is inefficient and processing process is complex during data storage and calculation.An efficient and accurate customer profile analysis method of ClickHouse columnar storage database is proposed.The advantages of the database,and data collection and cleaning,storage and management,analysis and computation,as well as fine-tuned marketing application are introduced.Focusing on the basic attributes and transaction behaviors of customer groups,different category labels are designed across multiple dimensions,the combination of conditional labels are applied to rapidly and accurately screen out specific customer groups.The practical application shows the database can provide a basis and support for fine-tuned marketing and personalized services.