Automatic flagging of frequently accessed data objects for business application

Abstract

Embodiments relate to management of data accessed from a database. A usage tracking engine of an application layer overlying a database, may automatically track (e.g. with a time stamp) access to specific data objects by particular users. This automatic tracking may be based upon one or more of the following: frequency of access, recency of access, user geographic location, and user calendar events. Based upon this data, the tracking engine applies an algorithm to automatically identify those data objects meriting special handling for quick access (e.g. for placement in a 'shelf' or other construct readily accessible to the user). A heuristic learning module may generate a data object ranking based upon the usage data, and communicate that ranking to the usage tracking engine to determine a data object's eligibility for placement on the 'shelf'. Such ranking may consider personalized settings, and/or a user's past manual shelf placement of data object(s).