GEO-LEVEL CONSUMER PURCHASE PENETRATION DATA MART

• US 20150294335A1
• Filed: 04/10/2014
• Published: 10/15/2015
• Est. Priority Date: 04/10/2014
• Status: Abandoned Application

• Current Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Original Assignee: Mastercard International Incorporated (MasterCard Incorporated)
• Inventors: Hu, Po, Ming, Shen Xi, Wang, Qian
• Application Number:
  US14/249,880
• Publication Number:
  US 20150294335A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 20/34 using cards, e.g. integrated circuit [IC] cards or magnetic cards
• CPC Class Codes: G06Q 20/384 using social networks
• CPC Class Codes: G06Q 20/4015 using location information
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

A geographic level purchase penetration data mart provides a comprehensive platform to merge geographic level credit card transaction data with other databases including bureau data, demographic data social media data and economic data. Credit card transaction data sources are selectively linked with survey data sources and other external data sources to generate a data model for selected business applications. The platform facilitates access to a large data set of credit card transaction data, and provides linkage models based on one or more geographic levels and selected business purposes for modeling and influencing consumer behavior at a multi-dimensional and practical level.

Claims

1. A method, comprising:

storing a credit card transaction data set on at least one data storage device, the credit card transaction set data including geographic level data indicating credit card transaction locations;

selecting a consumer purchase geographic area included in the credit card transaction locations in the first transaction data set; and

aggregating portions of the credit card transaction data corresponding to the selected consumer purchase geographic area.

2. The method of claim 1, further comprising linking the aggregated portions of the credit card transaction data with a second data source to generate a combined data set.

3. The method of claim 1, further comprising:

receiving a custom data request from a customer; and

selecting the second data source for linking with the aggregated portions based on the custom data request.

4. The method of claim 3, further comprising configuring a comprehensive platform to receive the custom data request and to deliver the combined data set to the customer based on the custom data request.

5. The method of claim 1, further comprising:

receiving a standard data request from a customer, the standard data request defining a geographic area of interest;

selecting the consumer purchase geographic area to include the geographic area of interest based on the standard data request.

6. The method of claim 5, further comprising linking the aggregated portions of the credit card transaction data with a second data source to generate a standard data product for the area of interest.

7. The method of claim 5, further comprising configuring a comprehensive platform to receive the standard data request and to deliver the combined data set to the customer based on the standard data request.

8. The method of claim 2, wherein the second data source is in the group consisting of survey data, bureau data, demographic data, social media data and economic data.

9. The method of claim 1, comprising automatically aggregating portions of the credit card transaction data based on a mathematical algorithm.

10. The method of claim 1, in which the aggregated transaction data is in the group consisting of purchase activities, purchase volumes, purchase frequencies, recent purchases, merchant categories, online activity and seasonal purchases.

11. The method of claim 1, in which the selected geographic level is in the group consisting of zip level, Metropolitan Statistical Area level, and Designated Market Area level.

12. A data mart platform comprising:

a memory;

at least one processor operatively coupled to the memory; and

a persistent storage device operatively coupled to the memory and storing in a non-transitory manner instructions which when loaded into the memory cause the at least one processor to be operative to;

store a credit card transaction data set on at least one data storage device, the credit card transaction set data including geographic level data indicating credit card transaction locations;

select a consumer purchase geographic area included in the credit card transaction locations in the first transaction data set; and

aggregate portions of the credit card transaction data corresponding to the selected consumer purchase geographic area.

13. The data mart platform of claim 12, wherein the persistent storage device further stores in a non-transitory manner instructions which when loaded into the memory cause the at least one processor to be operative to link the aggregated portions of the credit card transaction data with the second data source to generate a combined data set.

14. The data mart platform of claim 12, wherein the persistent storage device further stores in a non-transitory manner instructions which when loaded into the memory cause the at least one processor to be operative to:

receive a custom data request from a customer;

select the second data source for linking with the aggregated portions based on the custom data request; and

generate the combined data set based on the custom data request.

15. The data mart platform of claim 12, wherein the persistent storage device further stores in a non-transitory manner instructions which when loaded into the memory cause the at least one processor to be operative to:

receive a standard data request from a customer, the standard data request defining a geographic area of interest;

select the consumer purchase geographic area to include the geographic area of interest based on the standard data request; and

generate the combined data set based on the standard data request.

16. The data mart platform of claim 15, wherein the persistent storage device further stores in a non-transitory manner instructions which when loaded into the memory cause the at least one processor to be operative to link the aggregated portions of the credit card transaction data with a second data source to generate a standard data product for the area of interest.

17. The data mart platform of claim 12, wherein the second data source is in the group consisting of survey data, bureau data, demographic data, social media data and economic data.

18. The data mart platform of claim 12, wherein the persistent storage device further stores in a non-transitory manner instructions which when loaded into the memory cause the at least one processor to be operative to aggregate portions of the credit card transaction data based on a mathematical algorithm.

19. The data mart platform of claim 12, in which the aggregated transaction data is in the group consisting of purchase activities, purchase volumes, purchase frequencies, recent purchases, merchant categories, online activity and seasonal purchases.

20. An apparatus, comprising:

at least one data storage device storing a credit card transaction data set, the credit card transaction set data including geographic level data indicating credit card transaction locations;

a computer interface configured for selecting a consumer purchase geographic area included in the credit card transaction locations in the first transaction data set;

at least one processor configured for aggregating portions of the credit card transaction data corresponding to the selected consumer purchase geographic area; and

at least one processor configured for linking the aggregated portions of the credit card transaction data with a second data source to generate a combined data set.