Abstract: Systems, methods, and other embodiments associated with generating suggested shortcuts are described. In one embodiment, a method includes identifying a user that accesses an intranet portal and tracking navigation paths taken by the user within the intranet portal. The navigation paths are stored in a user profile associated with the user, where the navigation paths indicate a sequence of visited locations and a destination location for the sequence. When the user visits a location within the intranet portal, a list of suggested destination locations are generated as navigation shortcuts to allow the user to directly access a desired destination.

Abstract: Systems, methods, and other embodiments associated with generating suggested shortcuts are described. In one embodiment, a method includes identifying a user that accesses an intranet portal and tracking navigation paths taken by the user within the intranet portal. The navigation paths are stored in a user profile associated with the user, where the navigation paths indicate a sequence of visited locations and a destination location for the sequence. When the user visits a location within the intranet portal, a list of suggested destination locations are generated as navigation shortcuts to allow the user to directly access a desired destination.

Abstract: A method for multi-dimensional performance analysis may be provided. A plurality of data may be displayed in a butterfly diagram comprising a data grid, a histogram associated with column sorting criteria, and a histogram associated with row-sorting criteria. Additional information depth may be provided with conditional formatting of the cells of the data grid.

Abstract: A method for searching and resource discovery in a distributed enterprise (DE), the method including: generating a first classifier for a first repository in the DE; generating a second classifier for a second repository in the DE, where the second classifier has a vector element identifying a location of the second repository; submitting a copy of the second classifier to a web server of the first repository; obtaining a resource at the first repository after submitting the copy of the second classifier; matching the resource to the copy of a second classifier; sending a copy of the resource to the second repository using the vector element; and storing the copy of the resource in the second repository.

Abstract: A method for multi-dimensional performance analysis may be provided. A plurality of data may be displayed in a butterfly diagram comprising a data grid, a histogram associated with column sorting criteria, and a histogram associated with row-sorting criteria. Additional information depth may be provided with conditional formatting of the cells of the data grid.

Abstract: A method for searching and resource discovery in a distributed enterprise (DE), the method including: generating a first classifier for a first repository in the DE; generating a second classifier for a second repository in the DE, where the second classifier has a vector element identifying a location of the second repository; submitting a copy of the second classifier to a web server of the first repository; obtaining a resource at the first repository after submitting the copy of the second classifier; matching the resource to the copy of a second classifier; sending a copy of the resource to the second repository using the vector element; and storing the copy of the resource in the second repository.

Abstract: In a distributed enterprise computing system, personal data repositories are created by individual users who generate classifiers that index the information for those repositories. Each generated classifier also specifies a target repository into which a copy of a resource that matches that classifier is placed. Users can submit classifiers that they created to other repositories. Later, when a user adds a resource to his personal repository, it is checked against all classifiers that have been created by the user and submitted to the repository by other users. If the new resource matches any classifier, a copy of the resource is sent to the repository specified in the classifier, where the resource is archived and indexed.