Apparatuses, methods and systems for a financial transaction tagger

• US 9,063,978 B1
• Filed: 10/13/2010
• Issued: 06/23/2015
• Est. Priority Date: 10/16/2009
• Status: Active Grant

• Current Assignee: Iqor US Inc. (IQOR Holdings Incorporated)
• Original Assignee: IGOR Holdings Incorporated, IGOR US Incorporated
• Inventors: Kapoor, Vikas, Madhavarapu, Abhilash
• Primary Examiner(s): Perveen, Rehana
• Assistant Examiner(s): HAVAN, HUNG T
• Application Number:
  US12/903,685
• Time in Patent Office: 1,714 Days
• Field of Search: 707/769
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/24561 Intermediate data storage techniques for performance improvement
• CPC Class Codes: G06F 16/24564 Applying rules; Deductive queries
• CPC Class Codes: G06F 21/10 Protecting distributed programs or content, e.g. vending or licensing of copyrighted material protection in video systems or pay television H04N7/16 ; Digital rights management [DRM]
• CPC Class Codes: G06F 21/64 Protecting data integrity, e.g. using checksums, certificates or signatures
• CPC Class Codes: G06F 8/20 Software design
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 40/12 Accounting

Abstract

The APPARATUSES, METHODS AND SYSTEMS FOR A FINANCIAL TRANSACTION TAGGER (hereinafter “FTT”) implement efficient and scalable monitoring, regulation, and allocation of computational processing, data, labor, and/or the like resources within an enterprise. In some embodiments, the FTT may facilitate, in various implementations, tagging transactions with transaction characteristics through the use of universal variables and economical interface features. In one embodiment, transaction data associated with a transaction and including at least a transaction identifier may be received. The transaction data may be analyzed, and contextual rules may be applied to the transaction to tag the transaction with transaction characteristics.

Claims

1. A processor-implemented method comprising:

receiving transaction data associated with an enterprise-based transaction and including at least a transaction identifier;

analyzing via a computer processor the received transaction data;

determining via the processor that a contextual rule of a plurality of contextual rules for different transactions is triggered based on the analysis of the transaction data;

utilizing at least one universal variable to obtain the contextual rule from a plurality of contextual rules for different transactions, wherein the universal data variable comprises an intermediate data object that allows access to a plurality of database relational structures, disparate databases and external data sources, and wherein at least one universal variables is organized into a hierarchical structure comprising a family, a subfamily and a field name components;

applying the applicable contextual rule to the transaction data that triggered the contextual rule;

tagging the transaction data with transaction characteristics based on the contextual rule;

evaluating and determining via the processor that additional transactional characteristics are needed for the transaction based at least partially on the evaluation of the contextual rule; and

extracting additional transaction characteristics using a table-tracking syntax configured string based on the contextual rule and tagging the transaction with the additional set of transaction characteristics.

2. The method of claim 1, wherein the transaction data is received using universal variables.

3. The method of claim 1, wherein additional transaction data may be retrieved based on the transaction identifier.

4. The method of claim 1, wherein the analysis is based on transaction characteristics specified in the transaction data.

5. The method of claim 1, wherein the contextual rule may be implemented as a database trigger.

6. The method of claim 1, further comprising:

analyzing the transaction data and the newly tagged transaction characteristics;

determining that a second contextual rule is triggered based on the second analysis; and

tagging the transaction with transaction characteristics based on the second contextual rule.

7. The method of claim 1, further comprising:

determining that the transaction should be tagged with additional transaction characteristics; and

tagging the transaction with the additional transaction characteristics.

8. The method of claim 7, wherein a human operator tags the transaction with the additional transaction characteristics.

9. The method of claim 7, wherein the tagging with the additional transaction characteristics is performed using a table-tracking syntax configured string.

10. The method of claim 7, further comprising:

analyzing the transaction data and the newly tagged additional transaction characteristics;

determining that a second contextual rule is triggered based on the second analysis; and

tagging the transaction with transaction characteristics based on the second contextual rule.

11. A method of claim 1, where the transaction data associated with a transaction comprises a financial information that describes the transaction.

12. A computerized system comprising:

a computer input device;

a computer memory;

a computer processor, operating on a set of computer instructions, wherein the computer instructions comprise;

receiving transaction data associated with an enterprise-based transaction and including at least a transaction identifier;

analyzing via a computer processor the received transaction data;

determining via the processor that a contextual rule of a plurality of contextual rules for different transactions is triggered based on the analysis of the transaction data;

utilizing at least one universal variable for obtaining the contextual rule from a plurality of contextual rules for different transactions, wherein the universal data variable comprises an intermediate data object that allows access to a plurality of database relational structures, disparate databases and external data sources, and wherein at least one universal variable is organized into a hierarchical structure comprising a family, a subfamily and a field name components;

applying the applicable contextual rule to the transaction data that triggered the contextual rule;

tagging the transaction data with transaction characteristics based on the contextual rule; and

evaluating via the computer processor whether additional transactional characteristics are needed for the transaction based at least partially on the evaluation of the contextual rule.