| E-commerce site make a great deal click stream data ever day ,which include many useful information. For example, where are customer from,what action customer took, what did customer interest in. analysising these data can not only direct building of site, strengthen adhesion, but reflect enterprise'status on marketing and finace. In short,deeply analysising these data may help owner of site to improve customerrelationship and qualities of service.Basing on shopping web site, the thesis is a click-stream data warehouse for experiment.Take the web site as an example,we make analysis subject and build various granularity data mart basing on multi-demension modeling.after analyzing some kinds of click-stream data,the text bring forward a ETL system fully.It comprise attemper project,data pretreatment,etl tools, breech-loading mechanism.finally, for showing the value of click-stream data ,the text have a on-line analysis process for it.The click-stream data warehouse building project can not only get a anlysis for the information of web site,but support deep-seated mining for user profile and sale analysis. |
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