Abstract: The assessing of collaboration time includes the extraction of collaboration data from collaborators and storing the collaboration data as a dataset. Attributes for each of the collaborators is defined, and a group of collaborators is defined by filtering based on the attributes. For the dataset, collaboration time is assigned for each member of the group using the collaboration data. Data from certain activities by collaborators are mined as representative of the collaboration activities, and in combination with organizational structure data, time is allocated between people, teams, and companies for the purpose of assessing organizational productivity and effectiveness. No manual data gathering or imposition on collaborators to provided data is required. Real data for the collaborative activities are used, instead of self-reported data. This provides a more granular picture of how time is allocated to relationships and activities than could be gathered manually.

Abstract: The assessing of collaboration time includes the extraction of collaboration data from collaborators and storing the collaboration data as a dataset. Attributes for each of the collaborators is defined, and a group of collaborators is defined by filtering based on the attributes. For the dataset, collaboration time is assigned for each member of the group using the collaboration data. Data from certain activities by collaborators are mined as representative of the collaboration activities, and in combination with organizational structure data, time is allocated between people, teams, and companies for the purpose of assessing organizational productivity and effectiveness. No manual data gathering or imposition on collaborators to provided data is required. Real data for the collaborative activities are used, instead of self-reported data. This provides a more granular picture of how time is allocated to relationships and activities than could be gathered manually.

Abstract: In a method for deriving entities and metrics from collaboration data from a plurality of computing systems, collaboration data is extracted from sent mails and calendars at the plurality of computing systems of a plurality of collaborators. The collaboration data is linked to correspond to one or more entities based on an activity type and collaborator metadata of the collaboration data, linked to organizational metadata defining a structure of an organization, and linked to external entities metadata defining one or more entities outside of the organization. A library of metrics is created for the one or more entities, and the metrics are quantified. The metrics are then displayed on a display, and the metrics are analyzed metrics according to instructions received via the display.

Abstract: In one embodiment, a system for providing fault-tolerant inertial measurement data includes a sensor for measuring an inertial parameter and a processor. The sensor has less accuracy than a typical inertial measurement unit (IMU). The processor detects whether a difference exists between a first data stream received from a first inertial measurement unit and a second data stream received from a second inertial measurement unit. Upon detecting a difference, the processor determines whether at least one of the first or second inertial measurement units has failed by comparing each of the first and second data streams to the inertial parameter.

Abstract: In one embodiment, a system for providing fault-tolerant inertial measurement data includes a sensor for measuring an inertial parameter and a processor. The sensor has less accuracy than a typical inertial measurement unit (IMU). The processor detects whether a difference exists between a first data stream received from a first inertial measurement unit and a second data stream received from a second inertial measurement unit. Upon detecting a difference, the processor determines whether at least one of the first or second inertial measurement units has failed by comparing each of the first and second data streams to the inertial parameter.