APPLICATION PROCESSING AND DECISION SYSTEMS AND PROCESSES

• US 20090112753A1
• Filed: 10/24/2008
• Published: 04/30/2009
• Est. Priority Date: 08/27/2003
• Status: Active Grant

• Current Assignee: Equifax, Inc.
• Original Assignee: Equifax, Inc.
• Inventors: Gupta, Sandeep, Horton, Dennis, Dixon, Thresa, Reddy, Sudhakar, Reid, James, Garten, Scott, Lu, Shen, Grice, Lee, Hall, Christian
• Granted Patent: US 8,108,301 B2
• Time in Patent Office: Days
• US Class Current: 705/38
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 20/10 specially adapted for electronic funds transfer [EFT] systems; specially adapted for home banking systems
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof

Abstract

The present invention relates to application processing and decisioning systems and processes. One embodiment of the invention includes a method for automating decisioning for a credit request associated with an applicant. The method includes providing a user computer interface adapted to receive information associated with an applicant, and further adapted to display and receive information associated with at least one decision rule. The method also includes receiving information associated with an applicant through the user computer interface; receiving information associated with the applicant from at least one data source; and receiving a selection of information associated with a plurality of decision rules through the user computer interface. Furthermore, the method includes receiving a selection of rule flow information associated with the plurality of decision rules through the user computer interface; generating a plurality of decision rules based at least in part on the information associated with the applicant, based at least in part on the information associated with the applicant from at least one data source, and based at least in part on the selection of information associated with a plurality of decision rules, wherein an outcome associated with the at least one decision rule can be obtained; and based in part on at least the rule flow information, displaying at least a portion of the plurality of decision rules through the user computer interface.

Claims

1. A method for accessing a plurality of data sources for decisioning a credit request associated with an applicant, comprising:

providing a user computer interface adapted to transform a portion of information from a plurality of data sources, and further adapted to define at least one rule associated with transforming the portion of information from the plurality of data sources;

providing an interface to each of the plurality of data sources;

transforming a portion of data from at least one of the plurality of data sources;

defining at least one rule associated with making a decision associated with providing credit to an applicant;

applying the at least one rule to at least a portion of data from the at least one of the plurality of data sources;

determining an outcome for the at least one rule; and

modifying the at least one rule based on the outcome.

2. The method of claim 1, wherein the plurality of data sources comprises at least one of the following:

an internal database, a third-party database, a credit reporting database, a risk database, a commercial database, and a commercial information database.

3. The method of claim 1, wherein the applicant comprises at least one of the following:

an individual, an entity, a business, and a commercial institution.

4. The method of claim 1, wherein the at least one decision rule comprises a rule in a near-natural language.

5. A computer-readable medium for accessing a plurality of data sources for decisioning a credit request associated with an applicant, comprising:

program code for providing a user computer interface adapted to transform a portion of information from a plurality of data sources, and further adapted to define at least one rule associated with transforming the portion of information from the plurality of data sources;

program code for providing an interface to each of the plurality of data sources;

program code for transforming a portion of data from at least one of the plurality of data sources;

program code for defining at least one rule associated with making a decision associated with providing credit to an applicant;

program code for applying the at least one rule to at least a portion of data from the at least one of the plurality of data sources;

program code for determining an outcome for the at least one rule; and

program code for modifying the at least one rule based on the outcome.

6. The computer-readable medium of claim 5, wherein the plurality of data sources comprises at least one of the following:

an internal database, a third-party database, a credit reporting database, a risk database, a commercial database, and a commercial information database.

7. The computer-readable medium of claim 5, wherein the applicant comprises at least one of the following:

an individual, an entity, a business, and a commercial institution.

8. The computer-readable medium of claim 5, wherein the at least one decision rule comprises a rule in a near-natural language.

9. A system for accessing a plurality of data sources for decisioning a credit request associated with an applicant, comprising:

a user computer interface adapted to transform a portion of information from a plurality of data sources, and further adapted to define at least one rule associated with transforming the portion of information from a plurality of data sources; and

a processor adapted to

provide an interface to each of a plurality of data sources;

transform a portion of data from at least one of the plurality of data sources;

define at least one rule associated with making a decision associated with providing credit to an applicant;

apply the at least one rule to at least a portion of data from the at least one of the plurality of data sources;

determine an outcome for the at least one rule; and

modify the at least one rule based on the outcome.