Abstract: A unique system and method that facilitates multi-user collaborative interactions is provided. Multiple users can provide input to an interactive surface at or about the same time without yielding control of the surface to any one user. The multiple users can share control of the surface and perform operations on various objects displayed on the surface. The objects can undergo a variety of manipulations and modifications depending on the particular application in use. Objects can be moved or copied between the interactive surface (a public workspace) and a more private workspace where a single user controls the workspace.

Abstract: A method, system and computer-readable medium for analyzing interaction or usage data, such as for customers, is described. Various data parsing information may be defined and used as part of the analysis, such as by using customer-specific information to identify various occurrences of interest. For example, the parser component can use data defining customer-specific categories of content set items and customer-specific types of events of interest. Such high-level types of occurrences can be specified in a variety of ways, such as by using a combination of a logical web site, one or more URIs corresponding to web pages, and/or one or more query strings. In addition, in order to associate the appropriate data parsing information with data to be processed, the data parsing information can also include version information that specifies when it is applicable. The data parsing information may also map actual web sites to logical sites.

Abstract: A method, system and computer-readable medium for analyzing interaction or usage data, such as for customers, is described. Various data parsing information may be defined and used as part of the analysis, such as by using customer-specific information to identify various occurrences of interest. For example, the parser component can use data defining customer-specific categories of content set items and customer-specific types of events of interest. Such high-level types of occurrences can be specified in a variety of ways, such as by using a combination of a logical web site, one or more URIs corresponding to web pages, and/or one or more query strings. In addition, in order to associate the appropriate data parsing information with data to be processed, the data parsing information can also include version information that specifies when it is applicable. The data parsing information may also map actual web sites to logical sites.

Abstract: A method and system for providing customers with access to and analysis of event data is provided. The event data may be stored in log files and supplemented with data from other sources, such as product databases and customer invoices. A data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The data warehouse server interacts with the customer servers to collect to the customer data on a periodic basis. The data warehouse server may provide instructions to the customer servers identifying the customer data that is to be uploaded to the data warehouse server. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data.

Abstract: A method and system for providing customers with access to and analysis of event data is provided. The event data may be stored in log files and supplemented with data from other sources, such as product databases and customer invoices. A data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The data warehouse server interacts with the customer servers to collect to the customer data on a periodic basis. The data warehouse server may provide instructions to the customer servers identifying the customer data that is to be uploaded to the data warehouse server. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data.

Abstract: A method and system for providing customers with access to and analysis of the navigation data collected at customer web sites is provided. In one embodiment, a data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The customer data may include navigation data (e.g., click stream log files), user attribute data of users of the customer web site (e.g., name, age, and gender), product data (e.g., catalog of products offered for sale by the customer), shopping cart data (i.e., identification of the products currently in a user's shopping call), and so on. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data. For example, the data warehouse server may analyze low-level navigation events (e.g.

Abstract: A method and system for providing customers with access to and analysis of the navigation data collected at customer web sites is provided. In one embodiment, a data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The customer data may include navigation data (e.g., click stream log files), user attribute data of users of the customer web site (e.g., name, age, and gender), product data (e.g., catalog of products offered for sale by the customer), shopping cart data (i.e., identification of the products currently in a user's shopping cart), and so on. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data. For example, the data warehouse server may analyze low-level navigation events (e.g.

Abstract: A method and system for providing customers with access to and analysis of the navigation data collected at customer web sites is provided. In one embodiment, a data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The customer data may include navigation data (e.g., click stream log files), user attribute data of users of the customer web site (e.g., name, age, and gender), product data (e.g., catalog of products offered for sale by the customer), shopping call data (i.e., identification of the products currently in a user's shopping call), and so on. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data. For example, the data warehouse server may analyze low-level navigation events (e.g.

Abstract: A method and system for providing customers with access to and analysis of the navigation data collected at customer web sites is provided. In one embodiment, a data warehouse system collects customer data from the customer web sites and stores the data at a data warehouse server. The customer data may include navigation data (e.g., click stream log files), user attribute data of users of the customer web site (e.g., name, age, and gender), product data (e.g., catalog of products offered for sale by the customer), shopping cart data (i.e., identification of the products currently in a user's shopping cart), and so on. When the data warehouse server receives customer data, it converts the customer data into a format that is more conducive to processing by decision support system applications by which customers can analyze their data. For example, the data warehouse server may analyze low-level navigation events (e.g.