Abstract: Disclosed are methods and systems for implementing extensibility in sales prediction engines. An extensibility framework may be used to modify the metadata schema of the data used by the sales prediction engine to account for extended attributes and entities. The sales prediction engine is also modified to recognize the extended attributes and entities so that a user will be able to create new rules and train new models based on the extended attributes and entities.

Abstract: Disclosed are methods and systems for implementing extensibility in sales prediction engines. An extensibility framework may be used to modify the metadata schema of the data used by the sales prediction engine to account for extended attributes and entities. The sales prediction engine is also modified to recognize the extended attributes and entities so that a user will be able to create new rules and train new models based on the extended attributes and entities.

Abstract: Disclosed are methods and systems for implementing extensibility in sales prediction engines. An extensibility framework may be used to modify the metadata schema of the data used by the sales prediction engine to account for extended attributes and entities. The sales prediction engine is also modified to recognize the extended attributes and entities so that a user will be able to create new rules and train new models based on the extended attributes and entities.

Abstract: Disclosed are methods and systems for implementing extensibility in sales prediction engines. An extensibility framework may be used to modify the metadata schema of the data used by the sales prediction engine to account for extended attributes and entities. The sales prediction engine is also modified to recognize the extended attributes and entities so that a user will be able to create new rules and train new models based on the extended attributes and entities.

Abstract: A system identifies candidate persons of an enterprise team, such as a sales team. An example method includes providing a first user option to select one or more persons based on a first set of one or more criteria, yielding an indication of one or more candidate persons in response thereto; retrieving data for each of the one or more candidate persons, wherein the data includes information comprising a first metric and a second metric; and providing a second user option to chose one or more candidate persons for an enterprise team based on the one or more indications of one or more candidate persons and the metrics. The example method further includes graphically depicting one or more indications of one or more candidate persons based on the first metric and the second metric, which may include measurements of a person's versatility and sales performance history, respectively.