Mobile activity intelligence

• US 9,042,862 B2
• Filed: 11/16/2012
• Issued: 05/26/2015
• Est. Priority Date: 04/09/2009
• Status: Active Grant

• Current Assignee: Ivanti, Inc. (Ivanti Software, Inc.)
• Original Assignee: MobileIron, Inc.
• Inventors: Rege, Ojas Udayan, Tinker, Robert Bates, Mishra, Sanjeev Kumar, Garimella, Sandilya, Eichert, Stuart Carleton
• Primary Examiner(s): TRAN, CONGVAN
• Application Number:
  US13/679,902
• Publication Number:
  US 20130143522A1
• Time in Patent Office: 921 Days
• Field of Search: 455/403, 455/405, 455/406, 455/407, 455/408, 455/414.1, 455/550.1
• US Class Current: 455/405
• CPC Class Codes: H04L 12/1403 Architecture for metering, charging or billing
• CPC Class Codes: H04L 12/1428 Invoice generation, e.g. customization, lay-out, database processing, algorithms for calculating the bill or formatting invoices as WWW pages invoicing in general G06Q30/04
• CPC Class Codes: H04M 15/28 with meter at substation or with calculation of charges at terminal
• CPC Class Codes: H04M 15/31 Distributed metering or calculation of charges
• CPC Class Codes: H04M 15/44 Augmented, consolidated or itemized billing statement or bill presentation
• CPC Class Codes: H04M 15/58 based on statistics of usage or network monitoring
• CPC Class Codes: H04M 15/61 based on the service used
• CPC Class Codes: H04W 4/24 Accounting or billing

Abstract

In various embodiments, a method is described that includes receiving mobile device usage data directly from each of a plurality of mobile devices associated with a particular enterprise, aggregating the usage data from each of the plurality of mobile devices at a central database, and generating one or more mobile device usage reports based on the aggregated usage data.

Claims

1. A method, comprising:

receiving, at a first server, mobile device usage data directly from each of a plurality of mobile devices associated with a particular enterprise, a first subset of the plurality of mobile devices being associated with a first network service provider and a second subset of the plurality of mobile devices being associated with a second network service provider;

aggregating the usage data from each of the plurality of mobile devices, wherein network traffic usage data from the first subset of the plurality of mobile devices is aggregated with network traffic usage data from the second subset; and

generating one or more mobile device usage reports based on the aggregated usage data.

2. The method of claim 1, wherein the first server is a central server not affiliated with the particular enterprise and wherein the usage data is sent from the mobile devices directly to the central server.

3. The method of claim 2, further comprising aggregating the aggregated usage data from the plurality of mobile devices associated with the particular enterprise with aggregated usage data from mobile devices associated with other enterprises and generating one or more multi-enterprise usage reports each comprising data from at least two different enterprises.

4. The method of claim 1, wherein the first server is an enterprise server of the particular enterprise, and wherein the method further comprises sending the usage data from the first server directly to a central server that is not affiliated with the particular enterprise.

5. The method of claim 1, wherein the first server is a data management server that maintains a virtual instance of each of the plurality of mobile devices, wherein particular virtual instances corresponding to particular mobile devices are updated based on the data sent to the data management server from the particular mobile devices, and wherein the data management server sends the usage data corresponding to the particular mobile devices to a central server that is not affiliated with the particular enterprise.

6. The method of claim 1, further comprising:

at each mobile device, selectively filtering raw data to generate the usage data prior to transmitting the usage data and the receiving of the usage data.

7. The method of claim 1, further comprising:

at each mobile device, correlating the usage data based on a corresponding time of usage prior to transmitting the usage data and the receiving of the usage data.

8. The method of claim 1, further comprising:

at each mobile device, correlating the usage data based on the corresponding geographic location of mobile device at the corresponding time of usage prior to transmitting the usage data and the receiving of the usage data.

9. The method of claim 1, further comprising:

at each mobile device, correlating the usage data based on the corresponding cellular tower at the corresponding time of usage prior to transmitting the usage data and the receiving of the usage data.

10. The method of claim 1, wherein the usage data comprises one or more of call usage information, SMS text usage information, web browser usage information, and application usage information.

11. The method of claim 1, further comprising automatically sending an alert to a particular mobile device based on usage data received from the particular mobile device.

12. The method of claim 1, further comprising disabling all or a portion of the usage capabilities of a particular mobile device based on usage data received from the particular mobile device.

13. The method of claim 1, further comprising wiping all or a portion of the memory of a particular mobile device based on usage data received from the particular mobile device.

14. The method of claim 1, further comprising changing a security policy corresponding to a particular mobile device based on usage data received from the particular mobile device.

15. The method of claim 1, further comprising changing a service plan of a particular mobile device based on usage data received from the particular mobile device.

16. The method of claim 1, wherein one or more of the reports comprise a call summary report of a particular mobile device, group of mobile devices, or entire enterprise.

17. The method of claim 1, wherein one or more of the reports comprise a data summary report of a particular mobile device, group of mobile devices, or entire enterprise.

18. The method of claim 1, wherein one or more of the reports comprise an SMS summary report of a particular mobile device, group of mobile devices, or entire enterprise.

19. The method of claim 1, wherein the usage data comprises data from the first subset of mobile devices associated with the first network service provider and the second subset of mobile devices associated with the second network service provider and wherein at least one of the usage reports comprises usage data from at least the first network service provider and the second network service provider.

20. The method of claim 1, wherein the usage data is received in real-time.

21. The method of claim 1, wherein the usage data is received on an event driven basis.

22. The method of claim 1, wherein the usage data is received on a periodic basis.

23. The method of claim 1, wherein the usage data is received on a continuous basis.

24. A mobile device management system, comprising:

a central database;

a server configured to;

receive mobile device usage data directly from each of a plurality of mobile devices associated with a particular enterprise, a first subset of the plurality of mobile devices being associated with a first network service provider and a second subset of the plurality of mobile devices being associated with a second network service provider;

aggregate the usage data from each of the plurality of mobile devices at the central database, wherein network traffic usage data from the first subset of the plurality of mobile devices is aggregated with network traffic usage data from the second subset; and

generate one or more mobile device usage reports based on the aggregated usage data.

25. The system of claim 24, wherein the server is a central server not affiliated with the particular enterprise and wherein the usage data is sent from the mobile devices directly to the central server.

26. The system of claim 24, wherein at each mobile device, raw data is selectively filtered to generate the usage data prior to transmitting the usage data and the receiving of the usage data.

27. The system of claim 24, wherein at each mobile device, the usage data is correlated based on the corresponding geographic location of mobile device at the corresponding time of usage prior to transmitting the usage data and the receiving of the usage data.

28. The system of claim 24, wherein the usage data comprises data from the first subset of mobile devices associated with the first network service provider and the second subset of mobile devices associated with the second network service provider and wherein at least one of the usage reports comprises usage data from at least the first network service provider and the second network service provider.