System and method using superkeys and subkeys

Abstract

Systems and methods for providing aggregated transaction level data for a particular user to multiple information requesters are disclosed. Subkeys are assigned to user inquiries from multiple information requesters and a super key is assigned to those subkeys to link them to one or more user identifiers such as a username or Social Security number. Account level data is provided based on the super key and the user identifiers. Duplicate requests for aggregated transaction level data contained in the user inquiries can be deleted. User inquiry response files containing transaction level aggregate data can be sent to the information requesters based on the assigned subkeys.

Description

CROSS-REFERENCES TO RELATED APPLICATIONS[0001]This Application claims priority to U.S. Provisional Patent Application No. 61 / 116,207 filed on Nov. 19, 2008, and is related to U.S. Non-Provisional Patent Application 12 / 616,048 filed on Nov. 10, 2009. All applications (provisional and non-provisional) are herein incorporated by reference in their entirety for all purposes.BACKGROUND[0002]Various tools, systems and products exist to assist various entities assess the risk, marketing value, success of marketing efforts, consumer loyalty and detect fraud. Such tools are especially useful for helping credit issuers when assessing the initial and continued credit worthiness of a user with regard to a credit account, targeting offers and evaluating the chances of a user declaring bankruptcy. The methodology of a conventional system for providing risk assessment or scoring is illustrated in the flowchart depicted in FIG. 1A.[0003]Starting at step 10, a risk assessment network receives a user...

AI Technical Summary

Benefits of technology

[0004]At step 15, the network sends a file with contents of the user inquiry to one or more data sources. In response to the file, the one or more data sources send account level data and the network receives the account level data at step 20. In many conventional risk assessment systems, account level data can include a number of account numbers associated with the user indicated in the user inquiry. Using the account level data, usually the account numbers, the network queries a transaction database for transaction level data in step 25. Such transaction level data can include details of individual transactions conducted with each of the accounts associated with the user. The network then analyzes the transaction level data to determine the risk assessment summary or credit score according to internal network protocols, policies and algorithms in step 30. Finally, in step 35 the network sends the risk assessment summary or credit score to the information requester.

Problems solved by technology

Such standardization of risk assessment summaries and credit scores, while providing consistent and concise metrics of risk, do not allow for a means to provide customized reports or analysis of the transaction level data according to internal needs of each information request.

Current risk assessment networks cannot provide transaction level data aggregates across multiple accounts customized to the requirements of an individual information requester.

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