Abstract: A system and method for generating a custom revenue cycle model with automated lead movement are disclosed. According to one embodiment, a computer-implemented method comprises receiving user input, wherein the user input comprises at least one of data related to a stage, data related to a success path definition, and data related to transition rules for lead movement, wherein the stage is a revenue stage or a detour stage; generating a custom revenue cycle model based on the user input; storing the custom revenue cycle model; providing for automated lead movements based on the transition rules; and providing for automated tracking of lead movements in the custom revenue cycle model.

Abstract: A system and method for generating a custom revenue cycle model with automated lead movement are disclosed. According to one embodiment, a computer-implemented method comprises receiving user input, wherein the user input comprises at least one of data related to a stage, data related to a success path definition, and data related to transition rules for lead movement, wherein the stage is a revenue stage or a detour stage; generating a custom revenue cycle model based on the user input; storing the custom revenue cycle model; providing for automated lead movements based on the transition rules; and providing for automated tracking of lead movements in the custom revenue cycle model.

Abstract: A system and method for generating a custom revenue cycle model with automated lead movement are disclosed. According to one embodiment, a computer-implemented method comprises receiving user input, wherein the user input comprises at least one of data related to a stage, data related to a success path definition, and data related to transition rules for lead movement, wherein the stage is a revenue stage or a detour stage; generating a custom revenue cycle model based on the user input; storing the custom revenue cycle model; providing for automated lead movements based on the transition rules; and providing for automated tracking of lead movements in the custom revenue cycle model.

Abstract: A system and method for generating a custom revenue cycle model with automated lead movement are disclosed. According to one embodiment, a computer-implemented method comprises receiving user input, wherein the user input comprises at least one of data related to a stage, data related to a success path definition, and data related to transition rules for lead movement, wherein the stage is a revenue stage or a detour stage; generating a custom revenue cycle model based on the user input; storing the custom revenue cycle model; providing for automated lead movements based on the transition rules; and providing for automated tracking of lead movements in the custom revenue cycle model.

Abstract: A system and method are provided that overcome the previously described limitations of prior art systems. The computer system, in fact, uses a set of information objects to interface with heterogeneous information sources. Information objects can be combined to form tasks that can be added, deleted and modified without requiring any modifications to the underlying program. In addition, the computer system allows users to navigate through a task and automatically generates links to related tasks based on the contextual information in which each step in the task is performed. As a result, links to related tasks do not have to be defined ahead of time, but rather can be dynamically generated at run time. This is accomplished by associating a semantic type or multiple semantic types with the information generated during each step. This allows the system to present links to tasks that utilize the same semantic types generated during the previous step.

Abstract: A method of displaying heterogeneous information includes executing an application program to process one or more activities. Each activity has information nuggets and next step links, and each information nugget is extracted from one or more heterogeneous information sources. Also, each next step link is associated with one or more information nuggets. One of the activities is selected, and an information nugget of the selected activity is displayed in a first region of the graphical user interface. A next step link associated with the displayed information nugget is displayed in a second region of the graphical user interface.

Abstract: A method of displaying heterogeneous information includes executing an application program to process one or more activities. Each activity has information nuggets and next step links, and each information nugget is extracted from one or more heterogeneous information sources. Also, each next step link is associated with one or more information nuggets. One of the activities is selected, and an information nugget of the selected activity is displayed in a first region of the graphical user interface. A next step link associated with the displayed information nugget is displayed in a second region of the graphical user interface.

Abstract: A system and method are provided that overcome the previously described limitations of prior art systems. The computer system, in fact, uses a set of information objects to interface with heterogeneous information sources. Information objects can be combined to form tasks that can be added, deleted and modified without requiring any modifications to the underlying program. In addition, the computer system allows users to navigate through a task and automatically generates links to related tasks based on the contextual information in which each step in the task is performed. As a result, links to related tasks do not have to be defined ahead of time, but rather can be dynamically generated at run time. This is accomplished by associating a semantic type or multiple semantic types with the information generated during each step. This allows the system to present links to tasks that utilize the same semantic types generated during the previous step.

Abstract: Hybrid target indexes are employed for skewed data set domains. Such hybrid indexes contain multiple value representations within a given index. The representations can be optimized for particular keys in highly skewed data set domains. For example, a hybrid target index on customer states might employ a bitmap to represent the index value for a California key and also employ, in the same index, an uncompressed list of row-IDs to represent the index value for a Delaware key.