Subscriber data analysis and graphical rendering

• US 9,462,497 B2
• Filed: 07/01/2011
• Issued: 10/04/2016
• Est. Priority Date: 07/01/2011
• Status: Active Grant

• Current Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Original Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Inventors: Hicks, Patrick, Johnson, Peter Andrew
• Primary Examiner(s): Chu, David H
• Application Number:
  US13/175,199
• Publication Number:
  US 20130002675A1
• Time in Patent Office: 1,922 Days
• Field of Search: 345/440
• US Class Current: 1/1
• CPC Class Codes: H04M 3/42297 with number portability
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports

Abstract

Analysis and graphical rendering of subscriber data is provided. A data analysis component is provided that obtains a set of subscriber data, correlates various subsets of the subscriber data to determine a plurality of data relationships, and graphical renders the subscriber data as a heat map, a fractal map, a tree map, a three dimensional plot, a three dimensional map, a graph, a chart, etc. based on a scale associated with the data relationships. In addition, the data analysis component can obtain a set of line number portability data that can be correlated with the various subsets of the subscriber data to determine the data relationships.

Claims

1. A method, comprising:

obtaining, by a device comprising a processor, a set of subscriber data;

generating, by the device, a data relationship by correlating a first subset of the set of subscriber data and a second subset of the set of subscriber data;

determining, by the device, a scale having an index value associated with the set of subscriber data, wherein the index value is representative of a number of disconnection events expected in a defined location based on a percentage of total subscriber devices in the defined location; and

displaying, by the device, the data relationship associated with the correlating of the first subset of the set of subscriber data and the second subset of the set of subscriber data based at least in part on the index value.

2. The method of claim 1, further comprising obtaining, by the device, a set of line number portability data.

3. The method of claim 2, wherein the generating the data relationship comprises correlating a third subset of the set of subscriber data with a subset of the set of line number portability data.

4. The method of claim 1, wherein the determining the scale comprises:

determining a first quantity of subscriber devices, having a first characteristic, in a first defined geographic granularity;

determining a second quantity of subscriber devices, having the first characteristic, in a second geographic granularity; and

determining the index value based on a percentage of the second quantity of subscriber devices compared to the first quantity of subscriber devices.

5. The method of claim 4, further comprising selecting, by the device, for a first geographic granularity, a value for the first geographic granularity that is higher on a geographic granularity hierarchy than a second defined geographic granularity.

6. The method of claim 1, wherein the displaying the data relationship comprises displaying the data relationship as a heat map that places a greater emphasis on higher correlations between the first and second subsets relative to lower correlations between the first and second subsets, and wherein the higher correlations are determined to satisfy a defined correlation function, and the lower correlations are determined not to satisfy the defined correlation function.

7. The method of claim 1, wherein the displaying the data relationship comprises:

determining that a value of the data relationship is within a defined range of the index value; and

displaying a graphical representation associated with the defined range, wherein the displaying the graphical representation is in response to the value of the data relationship being determined to be within the defined range.

8. The method of claim 1, further comprising:

obtaining, by the device, a display criterion; and

displaying, by the device, first information indicative of the data relationship based at least in part on the display criterion.

9. The method of claim 8, further comprising:

determining, by the device, an additional data relationship based on the display criterion; and

displaying, by the device, second information indicative of the additional data relationship.

10. A system, comprising:

a processor; and

a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising;

receiving a set of subscriber data;

evaluating at least a first subset of the set of subscriber data;

generating a set of analysis data based at least in part on the evaluating of at least the first subset of the set of subscriber data;

setting an index value based on a comparison of a first amount of subscriber identities having a characteristic at a first defined geographic granularity level to a second amount of subscriber identities having the characteristic at a second defined geographic granularity level; and

graphically rendering first information indicative of the set of analysis data.

11. The system of claim 10, wherein the operations further comprise receiving a set of portability data.

12. The system of claim 11, wherein the evaluating comprises evaluating a subset of the set of portability data, and wherein the generating comprises generating the set of analysis data based at least in part on the evaluating of the subset of the set of portability data.

13. The system of claim 10, wherein the operations further comprise determining the index value for the set of analysis data.

14. The system of claim 13, wherein the operations further comprise:

determining the first amount of subscriber identities, having the characteristic, at the first defined geographic granularity level; and

determining the second amount of subscriber identities, having the characteristic, at the second defined geographic granularity level.

15. The system of claim 14, wherein the first defined geographic granularity level is higher than the second geographic granularity level on a geographic granularity level hierarchy.

16. The system of claim 10, wherein the operations further comprise graphically rendering second information indicative of the set of analysis data as a heat map.

17. The system of claim 10, wherein the system comprises an electronic device comprising the processor, and the set of subscriber data is obtained by the electronic device via a network connection.

18. A method, comprising:

receiving, by a system comprising a processor, subscriber data;

receiving, by the system, line number portability data;

generating, by the system, analysis data by associating the subscriber data and the line number portability data;

determining, by the system, a first index value for the analysis data, wherein the determining comprises controlling the first index value based on a first number of subscribers divided by a second number of subscribers;

displaying, by the system, information indicative of the analysis data based at least in part on the index value; and

determining, by the system, a scale having a second index value associated with the subscriber data, wherein the second index value is associated with disconnection events predicted in a defined location based on a percentage of total subscribers determined to be in the defined location.

19. The method of claim 18, wherein the determining the index value comprises:

quantifying, prior to the controlling, the second number of subscribers associated with the subscriber data, having a set of characteristics, at a first location, and

quantifying, prior to the controlling, the first number of subscribers associated with the subscriber data, having the set of characteristics, at a second location which includes the first location.

20. The method of claim 19, wherein the displaying the information indicative of the analysis data based at least in part on the index value comprises:

determining that the value of the analysis data is within a defined range of the index value and

initiating display of a graphical representation associated with the defined range in response to the value of the analysis data being within the defined range.