Microsoft Technology Licensing, LLC

Ashvini Sharma

Carlos Augusto Otero

Charles David Ellis

Dominique Fortier

Jakob Peter Nielsen

Liyin Xue

Catherine William Neylan

Safiya Bhojawala

Systems, methods, and software for developing application usage information are provided herein. An exemplary method includes identifying data sources that relate to application usage activity of one or more users, determining activity signals related to at least data analysis by the one or more users from among the application usage activity, and applying the activity signals to a knowledge graphing service that infers data analysis preferences from among the activity signals. The method also includes providing ones of the data analysis preferences for use by data insight services that establish data insight objects visualizing target datasets based at least on the ones of the data analysis preferences.

Application usage signal inference and repository

Systems, methods, and software for data visualization frameworks are provided herein. An exemplary method includes identifying a target dataset from which to determine data insights for presentation in an insight interface to the user application. The method includes determining data insight candidates for the target dataset based at least on usage modalities associated with processing one or more past datasets, and establishing content of the data insight candidates according to at least the target dataset and the usage modalities, where the content of each of the data insight candidates includes at least one insight object described by object metadata that indicates at least a processing lineage used to produce the at least one insight object.

Insight objects as portable user application objects

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Redmond, WA, United States of America

Ashvini Sharma