Microstrategy, Inc.

Javier Aldrete

Peter Jerome DiDomenico, Iii

Michael Jerry Saylor

Daniel Todd Kerzner

Benjamin Z Li

Jeffrey A Bedell

Peng Xiao

L Douglas Everhart

Ramkumar Ramachandran

Joel Lebrun

David Glenn Norris

Christopher Von Simson

This specification describes technologies relating to identification of interests of a subgroup of a larger group of users. One aspect of the subject matter described in this specification can be embodied in methods that include receiving data reflecting characteristics for users in a set of users of a social networking platform, wherein the data reflects endorsements of pages hosted on the social networking platform. A subset of the users within the set is identified by excluding users in the set with characteristics that do not match filter criteria. For each of some of the pages endorsed by members of the subset, a measure of the likelihood of a user in the subset endorsing the page relative to the likelihood of other users in the set endorsing the page is calculated. One or more content items are selected based on the measures and data specifying the selected content items is transmitted.

Identification of subgroup interests

In one implementation, data associated with user identities is extracted from an electronic social networking platform. Based on the extracted data, at least some of the user identities are classified as fitting one or more of multiple different profiles. A first subset of user identities classified as fitting a first profile is identified. A second subset of user identities classified as fitting a second profile is identified. In addition, values for a particular characteristic associated with user identities identified as belonging to the first subset are identified, and values for the particular characteristic associated with user identities identified as belonging to the second subset are identified. A display then is caused that reflects the identified values for the particular characteristic associated with user identities identified as belonging to the first subset and the identified values for the particular characteristic associated with user identities identified as belonging to the second subset.

Comparing subsets of user identities of a social networking platform

A business intelligence system comprises a business intelligence interface system that enables users to interface with a business intelligence system and an electronic learning system that delivers electronic learning related to the business intelligence system. The business intelligence interface system enables one or more portions, such as folders of reports, individual reports, metadata or other business intelligence objects, or a report definition, of the business intelligence system for use by a user based on information related to whether the user has engaged in electronic learning associated with the one or more portions. A user may self-provision access by earning a privilege based on reviewing a lesson, passing a test, and/or other activities relative to the business intelligence object. Upon meeting electronic learning criteria, the electronic learning system updates privileges to enable access to the business intelligence object or class of objects.

Integration of e-learning with business intelligence system

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Austin, TX, United States of America

Javier Aldrete