ENHANCED DATA COLLECTION, PROCESSING, AND ANALYSIS FACILITIES

• US 20160323767A1
• Filed: 11/19/2015
• Published: 11/03/2016
• Est. Priority Date: 05/01/2015
• Status: Active Grant

• Current Assignee: Sybase 365 LLC (SAP SE)
• Original Assignee: Sybase 365 LLC (SAP SE)
• Inventors: Abdullah, KHALID Ata Atiyah, Buzzalino, Arturo, Garcia, Steven Charles, Vohra, Vaibhav, Vuori, Kimmo Olavi
• Granted Patent: US 9,854,450 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/14 Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

A method and corresponding apparatus configured to collect raw data from a plurality of wireless devices. The raw data includes activity recorded when the wireless devices are at a selected topographic region. The raw data is combined to produce aggregated data representative of the activities of the individual wireless devices. Either the aggregated data or the raw data are selected for analysis depending on whether the raw data meets a threshold activity or subscriber density level. The selected data are analyzed to identify activity patterns of users of the wireless devices.

Claims

1. A computer-implemented method comprising:

collecting raw data from a plurality of wireless devices, wherein the raw data includes activity recorded when the wireless devices are at a selected topographic region, and wherein the raw data is combined to produce aggregated data representative of the activities of the individual wireless devices;

selecting either the aggregated data or the raw data for analysis depending on whether the raw data meets a threshold activity or subscriber density level; and

analyzing the selected data to identify activity patterns of users of the wireless devices.

2. The method of claim 1, wherein the aggregated data are selected when the raw data meets the threshold activity or subscriber density level.

3. The method of claim 1, wherein the raw data are selected when the raw data fails to meet the threshold activity or subscriber density level.

4. The method of claim 1, further comprising:

forming a geometric representation of the selected area; and

adjusting a size of the geometric representation based on a degree of confidence in coordinates of the selected area.

5. The method of claim 4, wherein the analyzing takes the degree of confidence into consideration when the aggregated data is selected, and wherein the analyzing does not take the degree of confidence into consideration when the raw data is selected.

6. The method of claim 1, wherein the analyzing includes determining a home location of an individual wireless device by analyzing times and locations of calls made by the individual wireless device over a period of time.

7. The method of claim 6, wherein the home location is determined by analyzing call volumes and identifying cell towers that are associated with the calls and that had the highest call volume during the period of time.

8. The method of claim 7, wherein the home location is determined by identifying intersections of the cell towers.

9. The method of claim 8, further comprising:

selecting a location of a cell tower or intersection having a highest percentage of call volume coverage as the home location.

10. The method of claim 6, wherein the home location is determined by identifying cell towers that are associated with the calls and that have the shortest distance from each other.

11. An apparatus comprising:

a computer device configured to;

collect raw data from a plurality of wireless devices, wherein the raw data includes activity recorded when the wireless devices are at a selected topographic region, and wherein the raw data is combined to produce aggregated data representative of the activities of the individual wireless devices;

select either the aggregated data or the raw data for analysis depending on whether the raw data meets a threshold activity or subscriber density level; and

analyze the selected data to identify activity patterns of users of the wireless devices.

12. The apparatus of claim 11, wherein the aggregated data are selected when the raw data meets the threshold activity or subscriber density level.

13. The apparatus of claim 11, wherein the raw data are selected when the raw data fails to meet the threshold activity or subscriber density level.

14. The apparatus of claim 11, wherein the computer device is configured to:

form a geometric representation of the selected area; and

adjust a size of the geometric representation based on a degree of confidence in coordinates of the selected area.

15. The apparatus of claim 14, wherein the analyzing takes the degree of confidence into consideration when the aggregated data is selected, and wherein the analyzing does not take the degree of confidence into consideration when the raw data is selected.

16. The apparatus of claim 11, wherein the analyzing includes determining a home location of an individual wireless device by analyzing times and locations of calls made by the individual wireless device over a period of time.

17. The apparatus of claim 16, wherein the home location is determined by analyzing call volumes and identifying cell towers that are associated with the calls and that had the highest call volume during the period of time.

18. The apparatus of claim 17, wherein the home location is determined by identifying intersections of the cell towers.

19. The apparatus of claim 18, wherein the computer device is configured to:

select a location of a cell tower or intersection having a highest percentage of call volume coverage as the home location.

20. The apparatus of claim 16, wherein the home location is determined by identifying cell towers that are associated with the calls and that have the shortest distance from each other.