Abstract: A system and method profiles different users having a common terminal identifier in communication system. The system comprises a user activity data analyzer for extracting profile data from user terminal activity data, a user identifier for determining whether the profile data corresponds to a profile data history associated with the user terminal, and a user profile generator for generating a profile data history from the profile data for another user to be associated with the terminal in response to the profile data not corresponding to the profile data history associated with the user terminal. The user activity data analyzer extracts site addresses, URLs, click event data, metadata and other user activity from a session log to compile information useful for assessing a user's interests. This extracted profile data may then be compared to a profile history previously generated and associated with the terminal identifier.

Abstract: A customer relationship management system for storing and managing information for an E-Business retailer. The customer relationship system includes a database system for storing and organizing said information, a logical data model defining the manner in which said information is stored and related within the database system, and a subject area within the logical data model defining the manner in which profile information concerning web site visitors to a web site operated by the E-Business retailer is stored and organized within the database system. Visitors may include any individuals, households or organizations that are of interest to the E-Business retailer.

Abstract: A computer implemented method of and apparatus for collecting and managing detailed data related to an Internet Service Provider's (ISP) operational environment and customer web browsing habits within an E-Business customer relationship management system. Data is organized within a database system in accordance with a logical data model comprising a plurality of entities and relationships defining the manner in which information related to the Internet Service Provider's (ISP) operational environment and customer web browsing habits is stored and organized within the database system. The logical data model may include entities, attributes and relationships defining the organization of information relating to the ISP's billing plans and services; types of services provided by the ISP; the ISP's communication facilities and components; the ISP's customer account representatives; customer billing plans; customer revenue from bills and service; subscribers to the ISP; and the ISP's customers' sessions.

Abstract: One embodiment of the present invention relates to a system for extracting online data from a variety of web-sources in real-time and transmitting the data to a data warehouse in real-time. The system comprises an extractor plug-in having instructions configured to integrate with a pre-determined type of host server and extracting data in real-time from any variety of web source in communication with the host server. The system also comprises a transformer engine in communication with the extractor plug-in and configured to transmit the extracted data in real-time into a data warehouse for analysis thereof.

Abstract: A system and method profiles different users having a common terminal identifier in communication system. The system comprises a user activity data analyzer for extracting profile data from user terminal activity data, a user identifier for determining whether the profile data corresponds to a profile data history associated with the user terminal, and a user profile generator for generating a profile data history from the profile data for another user to be associated with the terminal in response to the profile data not corresponding to the profile data history associated with the user terminal. The user activity data analyzer extracts site addresses, URLs, click event data, metadata and other user activity from a session log to compile information useful for assessing a user's interests. This extracted profile data may then be compared to a profile history previously generated and associated with the terminal identifier.