If an enterprise does not monopolize the market , most members o n the market are not its customers.In order to attract the potential customers, enterprises must spend a large amount of time and energy on understanding and analyzing user' s behaviors. Among the traditional commercial affairs , it possibly depends on intuition but no t on facts, because they cannot trace the non -customer' s behavior .But in the ERM data warehouse systems of oriented e -commerce , user' s behaviors can be understood and analyzed through click -stream data .User' s activities can be linked to make a complete access history by using clustering methods. Depending on it , more customers are attracted and market requirements are satisfied better .Through comparing the difference between CRM system and ERM system in B2C environment , the schema of ERM data warehouse was discussed .The schema contains the user -behavior -fact table to record all activities of different users, the basic data dimensional tables and clustering data dimensional tables .An improved method of the schema of ERM data warehouse under the different E-commerce environments was also discussed.
2006, 26 (2):
66-70.
