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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-di-mensional 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.
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 jewelry 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-di-mensional 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.