ANALYZING BIG DATA TO DETERMINE A DATA PLAN

• US 20180276689A1
• Filed: 03/24/2017
• Published: 09/27/2018
• Est. Priority Date: 03/24/2017
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: ZHANG, Fengping, KELLY, Susan, HUANG, Jian, BONGU HUMA SHANKAR RAO, Fnu, CHEN, Guanrao, AKMAL, Mohammad Zohaib, KHANDARE, Harshal
• Granted Patent: US 10,909,554 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A device can receive, from a set of storage devices, first information relating to one or more pilot data plans that are associated with one or more first groups of user devices. The device can receive, from the set of storage devices, second information relating to one or more live data plans that are associated with one or more second groups of user devices. The device can analyze the first information and/or the second information to identify one or more patterns of information. The one or more patterns can include a data usage pattern, a demographic information pattern, a revenue generation pattern, and/or a user interest pattern. The device can perform one or more actions, including generating a new data plan, identifying one or more user accounts as candidates for a new data plan, and/or transmitting, via a network, information relating to the new data plan.

Claims

1. A device, comprising:

one or more memories; and

one or more processors, communicatively coupled to the one or more memories, to;

receive, from a set of storage devices, first information relating to one or more pilot data plans,

the one or more pilot data plans being associated with one or more first groups of user devices;

receive, from the set of storage devices, second information relating to one or more live data plans,

the one or more live data plans being associated with one or more second groups of user devices;

analyze the first information and the second information to identify one or more patterns of information,

the one or more patterns including at least one of;

a data usage pattern,

a revenue generation pattern, or

a user interest pattern; and

perform one or more actions based on identifying the one or more patterns of information,

the one or more actions including at least one of;

modifying a pilot data plan or a live data plan,

identifying one or more user accounts as candidates for the modified pilot data plan or the modified live data plan, or

transmitting information relating to the modified pilot data plan or the modified live data plan.

2. The device of claim 1, where the first information and the second information includes at least one of:

data usage information,

subscriber profile information, or

survey information.

3. The device of claim 1, where the one or more processors, when analyzing the first information and the second information, are to:

compare data usage information associated with the one or more first groups of user devices and data usage information associated with the one or more second groups of user devices, and

identify a set of values indicating the data usage pattern based on comparing the data usage information associated with the one or more first groups of user devices and the data usage information associated with the one or more second groups of user devices,

the set of values indicating application-specific data usage for one or more user devices included in the one or more first groups of user devices and application-specific data usage for one or more user devices included in the one or more second groups of user devices.

4. The device of claim 1, where the one or more processors, when analyzing the first information and the second information, are to:

compare fee information associated with the one or more first groups of user devices and fee information associated with the one or more second groups of user devices,

identify a set of values indicating the revenue generation pattern based on comparing the fee information associated with the one or more first groups of user devices and the fee information associated with the one or more second groups of user devices,

the set of values being associated with an amount of revenue generated by data usage of one or more user devices included in the one or more first groups of user devices and an amount of revenue generated by data usage of one or more user devices included in the one or more second groups of user devices.

5. The device of claim 1, where the one or more processors, when analyzing the first information and the second information, are to:

compare the first information and the second information,

the first information including data usage information, subscriber profile information, and/or survey information, and

the second information including data usage information and/or survey information, and

determine that the first information satisfies a threshold based on comparing the first information and the second information,

the threshold including at least one of;

a data usage threshold, or

a threshold associated with a user satisfaction rating.

6. The device of claim 1, where the one or more processors, when performing the one or more actions, are to:

modify the pilot data plan by modifying one or more pilot data plan parameters, the one or more pilot data plan parameters including at least one of;

a data limit parameter,

a time parameter, or

a revenue parameter, or

modify the live data plan by modifying one or more live data plan parameters, the one or more live data plan parameters including at least one of;

a data limit parameter,

a time parameter, or

a revenue parameter.

7. The device of claim 1, where the one or more processors, when performing the one or more actions, are to:

modify the pilot data plan,

identify the one or more user accounts as candidates for the modified pilot data plan,

the one or more user accounts sharing demographic information with one or more user accounts that are associated with the one or more first groups of user devices, and

transmit a recommendation to one or more user devices that are associated with the one or more user accounts to enroll in the modified pilot data plan.

8. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

receive, from a set of storage devices, first information relating to one or more pilot data plans,

the one or more pilot data plans being associated with one or more first groups of user devices;

receive, from the set of storage devices, second information relating to one or more live data plans,

the one or more live data plans being associated with one or more second groups of user devices,

the one or more second groups of user devices being different than the one or more groups of user devices;

analyze the first information and/or the second information to identify one or more patterns of information,

the one or more patterns including at least one of;

a data usage pattern,

a demographic information pattern,

a revenue generation pattern, or

a user interest pattern; and

perform one or more actions based on identifying the one or more patterns of information,

the one or more actions including at least one of;

generating a new data plan,

identifying one or more user accounts as candidates for the new data plan, or

transmitting, via a network, information relating to the new data plan.

9. The non-transitory computer-readable medium of claim 8, where the one or more instructions, that cause the one or more processors to analyze the first information and/or the second information, cause the one or more processors to:

compare data usage information associated with the one or more first groups of user devices and data usage information associated with the one or more second groups of user devices,

determine that one or more user devices included in the first groups of user devices satisfy a threshold amount of data usage, and

identify a set of values indicating the data usage pattern based on determining that the one or more user devices satisfy the threshold amount of data usage,

the set of values including at least one of;

a value indicating total data usage,

one or more values indicating application-specific data usage, or

one or more values indicating category-specific data usage.

10. The non-transitory computer-readable medium of claim 8, where the one or more instructions, that cause the one or more processors to analyze the first information and/or the second information, cause the one or more processors to:

compare demographic information associated with the one or more first groups of user devices and demographic information associated with the one or more second groups of user devices,

determine that the demographic information associated with one or more user devices included in the first groups of user devices satisfies a threshold level of similarity,

identify a set of values indicating the demographic information pattern based on determining that the demographic information associated with the one or more user devices satisfies the threshold level of similarity,

the set of values including at least one of;

a value indicating an age,

a value indicating a gender,

a value indicating a location, or

a value indicating an income.

11. The non-transitory computer-readable medium of claim 8, where the one or more instructions, that cause the one or more processors to analyze the first information and/or the second information, cause the one or more processors to:

identify a set of values indicating the one or more patterns,

generate a data model using the set of values, and

provide a set of data values as input to the data model,

the set of data values being associated with a user device included in the one or more first groups of user devices.

12. The non-transitory computer-readable medium of claim 11, where the one or more instructions, that cause the one or more processors to perform the one or more actions, cause the one or more processors to:

generate the new data plan based on an output of the data model, and

transmit the new data plan to the user device included in the one or more first groups of user devices.

13. The non-transitory computer-readable medium of claim 8, where the one or more instructions, that cause the one or more processors to perform the one or more actions, cause the one or more processors to:

generate the new data plan,

generate a work order associated with the new data plan,

analyze one or more sales representative calendars and/or one or more sales representative qualifications,

schedule an appointment with a sales representative based on analyzing the one or more sales representative calendars and/or the one or more sales representative qualifications,

the appointment allowing the sales representative to recommend the new data plan to a user,

transmit the work order to a device associated with the sales representative, and

establish a connection between the device associated with the sales representative and a user device to initiate a sales call.

14. A method, comprising:

receiving, by a device and from a set of storage devices, first information relating to one or more pilot data plans,

the one or more pilot data plans being associated with one or more first groups of user devices, and

the first information including data usage information, subscriber profile information, and/or survey information;

analyzing, by the device, the first information to identify one or more patterns of information,

the one or more patterns including at least one of;

a data usage pattern,

a demographic information pattern,

a revenue generation pattern, or

a user interest pattern; and

performing, by the device, one or more actions based on identifying the one or more patterns of information,

the one or more actions including at least one of;

modifying a pilot data plan of the one or more pilot data plans or generating a new data plan,

identifying one or more user accounts as candidates for the modified pilot data plan or for the new data plan, or

transmitting, via a network, information relating to the modified pilot data plan or the new data plan.

15. The method of claim 14, further comprising:

receiving, from the set of storage devices, second information relating to one or more live data plans,

the one or more live data plans being associated with one or more second groups of user devices, and

the second information including data usage information and/or subscriber profile information;

analyzing the second information to identify one or more patterns of information;

modifying a live data plan of the one or more live data plans based on analyzing the second information to identify the one or more patterns of information;

identifying one or more user accounts as candidates for the modified live data plan; and

transmitting, to one or more user devices associated with the one or more user accounts, information relating to the modified live data plan.

16. The method of claim 14, where analyzing the first information comprises:

comparing information relating to user interests for the one or more first groups of user devices,

the information relating to user interests being included in the first information,

identifying a set of values indicating the user interests pattern based on comparing the information relating to user interests for the one or more first groups of user devices,

the set of values including at least one of;

a value indicating a user satisfaction rating,

a value indicating a total number of users enrolled in the pilot data plan of the one or more pilot data plans,

a value indicating a number of users enrolling in the pilot data plan over a time period, or

a value indicating a number of users departing from the pilot data plan over a time period.

17. The method of claim 14, where analyzing the first information comprises:

comparing the data usage information associated with the one or more first groups of user devices,

identifying a set of values indicating the data usage pattern based on comparing the data usage information associated with the one or more first groups of user devices,

the set of values being associated with category-specific data usage for one or more user devices included in the one or more first groups of user devices.

18. The method of claim 14, where analyzing the first information comprises:

sorting the first group of user devices by a set of categories,

the set of categories being associated with the data usage information, the subscriber profile information, and/or the survey information,

determining that one or more categories of the set of categories satisfies a threshold level of similarity, and

identifying a set of values indicating a pattern based on determining that the one or more categories satisfies the threshold level of similarity.

19. The method of claim 18, where performing the one or more actions comprises:

modifying the pilot data plan after identifying the set of values indicating the pattern,

identifying one or more user accounts as candidates for the modified pilot data plan,

the one or more user accounts sharing data usage information, subscriber profile information, and/or survey information with one or more user devices of the first group of user devices, and

transmitting a recommendation to one or more user devices that are associated with the one or more user accounts to enroll in the modified pilot data plan.

20. The method of claim 14, where performing the one or more actions comprises:

receiving, from another device, a request for a set of values associated with the data usage information, the subscriber profile information, and/or the survey information, and

transmitting, for display at the other device, the set of values.