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System and Method for Optimizing End User Productivity by Enhancing and Personalizing Enterprise Application Store Analytics

IP.com Disclosure Number: IPCOM000237406D
Publication Date: 2014-Jun-17
Document File: 2 page(s) / 32K

Publishing Venue

The IP.com Prior Art Database

Abstract

A system and method is disclosed for optimizing productivity of an end user across a plurality of devices by enhancing and personalizing enterprise application store analytics for the end user. The plurality of devices may include, but not limited to, smartphone, tablet, laptop, and desktop/PC.

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System and Method for Optimizing End User Productivity by Enhancing and Personalizing Enterprise Application Store Analytics

Disclosed is a system and method for optimizing productivity of an end user across a plurality of devices by enhancing and personalizing enterprise application store analytics for the end user. The plurality of devices may include, but not limited to, smartphone, tablet, laptop, and desktop/PC.

The system and method analyzes a set of information associated with a plurality of devices used by an end user. The set of information may include, but not limited to, business application data, time/effort spent per application per device, location profile of the end user, biorhythmic data, transition between the plurality of devices, and engagement of the end user with applications.

In an exemplary embodiment, business applications and data installed across the plurality of devices are analyzed. Additionally, time/effort spent by the end user per device per app is analyzed, wherein the analysis may include consuming content

(reading mail), or creating content (writing a new document).

Further number of days working from office, number of hours working from home at night, percentage of work performed when the end user is mobile, mode of transportation used by the end user, percentage of time spent working online versus

working offline, and geographical profile of end user's working location is analyzed.

The system and method also analyzes working time of the user during a day, time of the day when the end user takes conference calls, time of the day when the end user takes breaks, and time of the day when the end user creates a new material. The system and method further analyzes transitioning of a user from one device to another device and the application used for triggering the transition. The system and method further a...