在这篇论文,我们与五个题目一起设计了一个以顾客为中心的数据仓库系统:列出,投标,办理,说明,;顾客基于联机拍卖公司的企业过程联系。为每个题目,我们分析了它的事实索引;尺寸。然后拿象例子易于的办理,详细分析了数据仓库模型,;得到了办理题目的多维的分析结构。最后,使用数据采矿做顾客分割,我们把顾客划分了成四种类型:推动顾客,谨慎顾客,潜在的顾客,;平常的顾客。由多维的顾客数据分析的结果,联机拍卖公司能做出售的更多的目标;增加顾客忠诚。
In this paper, we designed a customer-centered data warehouse system with five subjects: listing, bidding, transaction, accounts, and customer contact based on the business process of online auction companies. For each subject, we analyzed its fact indexes and dimensions. Then take transaction subject as example, analyzed the data warehouse model in detail, and got the multi-dimensional analysis structure of transaction subject. At last, using data mining to do customer segmentation, we divided customers into four types: impulse customer, prudent customer, potential customer, and ordinary customer. By the result of multi-dimensional customer data analysis, online auction companies can do more target marketing and increase customer loyalty.