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公开(公告)号：US10536352B1
公开(公告)日：2020-01-14
申请号：US14819233
申请日：2015-08-05
申请人： Dell Software Inc.
发明人： Michel Albert Brisebois , Curtis T. Johnstone , Stephen Pope , GuangNing Hu , Benjamin Gribbin , Jason Aylesworth , Trapti Purohit , Marina Goldchtein , Elena V. Vinogradov , Christopher Macdonald
摘要： In one embodiment, a method includes extracting a cross-platform data-collection schema based, at least in part, on information available via heterogeneous interfaces of a plurality of source platforms. The cross-platform data-collection schema identifies a plurality of collectable data points in relation to particular source platforms. The method further includes configuring a cross-platform data-collection schedule for the plurality of source platforms. The cross-platform data-collection schedule indicates a collected subset of the plurality of collectable data points in relation to collection frequencies. The method also includes causing data values for the collected subset to be collected on an ongoing basis as dictated by the cross-platform data-collection schedule. Furthermore, the method includes processing a proposed change to at least one of the collected subset and the collection frequencies. In addition, the method includes modifying the cross-platform data-collection schedule to reflect the proposed change.
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公开(公告)号：US09990506B1
公开(公告)日：2018-06-05
申请号：US14672715
申请日：2015-03-30
申请人： Dell Software Inc.
摘要： In one embodiment, a method is performed by a computer system. The method includes accessing information related to enterprise usage of a plurality of network-accessible peripheral devices and identifying, from the information, discrete content-imaging events that occurred on the plurality of network-accessible peripheral devices. In addition, the method includes determining particular users associated with the discrete content-imaging events on a per-event basis and determining particular content to which the discrete content-imaging events relate on a per-event basis. Further, the method includes abstracting correlated data related to the discrete content-imaging events into a standardized format, the correlated data comprising data related to the particular users and the particular content, the standardized format enabling expression of the discrete content-imaging events by user and by type of content-imaging activity.
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