This paper discusses about how business intelligence on a website could be obtained from users' access trials instead of web logs of "hits". Users' trails are captured by implementing an Access-Control (AC) architectural model on the website. This model requires users to register their profiles in an exchange of a password; and thereafter they have to login before gaining access to certain resources on the website. The links to the resources on the website have been modified such that a record of information about the access would be recorded in the database when clicked. This way, data-mining can be performed on a relatively clean set of access records about the users. Hence, a good deal of business intelligence about the users' behaviors, preferences and about the popularities of the resources (products) on the website can be gained.