Systems and methods for large-scale credit data processing

• US 8,775,299 B2
• Filed: 07/11/2012
• Issued: 07/08/2014
• Est. Priority Date: 07/12/2011
• Status: Active Grant

• Current Assignee: Experian Information Solutions Incorporated (Experian plc)
• Original Assignee: Experian Information Solutions Incorporated (Experian plc)
• Inventors: Achanta, Venkat, Aaravabhoomi, Karthikeyan Reddy, Lassen, Patricia Cheryl, Sumida, Timothy
• Primary Examiner(s): RANKINS, WILLIAM E
• Application Number:
  US13/546,965
• Publication Number:
  US 20130124392A1
• Time in Patent Office: 727 Days
• Field of Search: 705/35
• US Class Current: 705/38
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

Systems and methods are provided for processing large volumes of credit-related data and other data, and generating products based on the processed data. Data received from a number of different data sources may be processed in parallel and stored in memory. Reporting rules may be defined in association with each of a number of different accounts. Products, such as credit reports, may then be generated based on one or more rule sets.

Claims

1. A credit reporting system comprising:

an information management system configured to process a plurality of large data sets comprising;

an interface module configured to periodically receive a plurality of large data sets including trade data from each of a plurality of data providers;

a memory configured to store large processed data sets and metrics regarding the large processed data sets;

a data processing module configured to automatically process the received plurality of large data sets in parallel and to store the processed data sets in the memory, the processing including validating the trade data, tracking metric data about the processing of the plurality of large data sets, and storing the metric data in the memory; and

an account module configured to;

store account-specific criteria regarding the processing of the plurality of large data sets, wherein each of the account-specific criteria is associated with an account of a specific data provider of the plurality of data providers;

automatically determine whether one of the account-specific criteria has been met with respect to data received from the associated data provider, wherein the determination of whether one of the account-specific criteria has been met is based at least in part on at least a portion of the metric data; and

based at least in part on the determination of whether one of the account-specific criteria has been met, automatically generate an electronic notification to be provided to the associated data provider, wherein the notification includes an indication of whether one of the account-specific criteria has been met; and

a credit reporting database configured to communicate with the information management system, to receive the processed plurality of large data sets from the information management system, and to store the processed plurality of large data sets as a set of data objects in the credit reporting database.

2. The credit reporting system of claim 1 wherein the processing of the data processing module further comprises removing duplicate data, parsing the data, and reformatting the data.

3. The credit reporting system of claim 1, wherein the plurality of large set of data include at least one of credit data, insurance data, credit card data, banking data, network data, utility data, public agency data, or business data.

4. The credit reporting system of claim 1 wherein the large processed data sets includes millions of records.

5. A computer-implemented credit data reporting method comprising:

receiving, by a computer processor, a plurality of large data sets from each of a plurality of data providers, the plurality of large data sets including trade data, each of the plurality of large data sets including millions of records;

automatically processing the received plurality of large data sets in parallel, the processing comprising;

validating the trade data;

tracking metric data about the processing of the plurality of large data sets; and

storing the metric data in a memory; and

storing the processed data sets in the memory;

receiving an electronic representation of account-specific criteria regarding the processing of the plurality of large data sets, wherein the account-specific criteria is associated with a first account of a specific data provider of the plurality of data providers;

storing the electronic representation of account-specific criteria;

automatically, by a computer processor, determining whether one of the account-specific criteria has been met with respect to data received from the specific data provider, wherein the determination of whether one of the account-specific criteria has been met is based at least in part on at least a portion of the metric data; and

based at least in part on the determination of whether one of the account-specific criteria has been met, automatically generating an electronic notification to be provided to the specific data provider, wherein the notification includes an indication of whether one of the account-specific criteria has been met.

6. The computer-implemented credit data reporting method of claim 5 further comprising automatically determining a recipient corresponding to the first account, automatically determining a preferred method of notification corresponding to the recipient, and automatically sending the electronic notification to the recipient using the preferred method of notification.

7. The computer-implemented credit data reporting method of claim 5 further comprising removing duplicates from each of the plurality of large data sets.

8. The computer-implemented credit data reporting method of claim 5, wherein the account-specific criteria are based at least in part on at least one of:

total input records, total rejected records, or total accepted records.

9. The computer-implemented credit data reporting method of claim 5, wherein the account-specific criteria are based at least in part on at least one of:

total input records, total rejected records, total accepted records, total number of records with optional segment rejects, total records with account type cross field errors, total records with status cross field errors, or total records with date cross field errors.

10. The computer-implemented credit data reporting method of claim 5 wherein the metric data includes conditions and rules which were triggered during the automatic processing of the received plurality of large data sets in parallel.

11. The computer-implemented credit data reporting method of claim 5, wherein the plurality of large set of data include at least one of credit data, insurance data, credit card data, banking data, social network data, utility data, public agency data, or business data.

12. A storage medium having a computer program stored thereon for causing a suitably programmed system to process computer-program code by performing the computer implemented method of claim 5 when such program is executed on the system.