System and method for finding evidencing electronic documents based on unstructured data

1. A method for finding evidencing electronic documents based on unstructured data, comprising:

analyzing a first electronic document to determine at least one transaction parameter of a transaction, wherein the first electronic document includes at least partially unstructured data;

creating a template for the transaction, wherein the template is a structured dataset including the determined at least one transaction parameter;

generating, based on the created template, at least one query; and

querying at least one data source for a second electronic document using the at least one query, wherein the second electronic document is different from the first electronic document.

2. The method of claim 1 , wherein determining the at least one transaction parameter further comprises:

identifying, in the first electronic document, at least one key field and at least one value;

creating, based on the first electronic document, a dataset, wherein the created dataset includes the at least one key field and the at least one value; and

analyzing the created dataset, wherein the at least one transaction parameter is determined based on the analysis.

3. The method of claim 2 , wherein identifying the at least one key field and the at least one value further comprises:

analyzing the first electronic document to determine data in the first electronic document; and

extracting, based on a predetermined list of key fields, at least a portion of the determined data, wherein the at least a portion of the determined data matches at least one key field of the predetermined list of key fields.

4. The method of claim 3 , wherein analyzing the first electronic document further comprises:

performing optical character recognition on the first electronic document.

5. The method of claim 2 , wherein the at least one query is generated based on a value in each of at least one predetermined key field among the identified at least one key field.

6. The method of claim 1 , further comprising:

cleaning the second electronic document, wherein the cleaning includes removing, based on at least one cleaning rule, at least one of: private data, and irrelevant data.

7. The method of claim 1 , further comprising:

determining a required type of the second electronic document based on the created template, wherein the query is generated based further on the determined required type.

8. The method of claim 7 , further comprising:

identifying the at least one data source based on the determined required type.

9. The method of claim 1 , further comprising:

generating, based on the created template and the second electronic document, a third electronic document, wherein the third electronic document includes a request and the second electronic document.

10. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute a process for verifying unstructured enterprise resource planning data, the process comprising:

analyzing a first electronic document to determine at least one transaction parameter of a transaction, wherein the first electronic document includes at least partially unstructured data;

creating a template for the transaction, wherein the template is a structured dataset including the determined at least one transaction parameter;

generating, based on the created template, at least one query; and

querying at least one data source for a second electronic document using the at least one query, wherein the second electronic document is different from the first electronic document.

11. A system for finding evidencing electronic documents based on unstructured data, comprising:

a processing circuitry; and

a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:

analyze a first electronic document to determine at least one transaction parameter of a transaction, wherein the first electronic document includes at least partially unstructured data;

create a template for the transaction, wherein the template is a structured dataset including the determined at least one transaction parameter;

generate, based on the created template, at least one query; and

query at least one data source for a second electronic document using the at least one query, wherein the second electronic document is different from the first electronic document.

12. The system of claim 11 , wherein the system is further configured to:

identify, in the first electronic document, at least one key field and at least one value;

create, based on the first electronic document, a dataset, wherein the created dataset includes the at least one key field and the at least one value; and

analyze the created dataset, wherein the at least one transaction parameter is determined based on the analysis.

13. The system of claim 12 , wherein the system is further configured to:

analyze the first electronic document to determine data in the first electronic document; and

extract, based on a predetermined list of key fields, at least a portion of the determined data, wherein the at least a portion of the determined data matches at least one key field of the predetermined list of key fields.

14. The system of claim 13 , wherein the system is further configured to:

perform optical character recognition on the first electronic document.

15. The system of claim 12 , wherein the query is generated based on a value in each of at least one predetermined key field among the identified at least one key field.

16. The system of claim 11 , wherein the system is further configured to:

clean the second electronic document, wherein the cleaning includes removing, based on at least one cleaning rule, at least one of: private data, and irrelevant data.

17. The system of claim 11 , wherein the system is further configured to:

determine a required type of the second electronic document based on the created template, wherein the query is generated based further on the determined required type.

18. The system of claim 17 , wherein the system is further configured to:

identify the at least one data source based on the determined required type.

19. The system of claim 11 , wherein the system is further configured to:

generate, based on the created template and the second electronic document, a third electronic document, wherein the third electronic document includes a request and the second electronic document.