IP Library Granted Patent US 12,411,601
Granted Patent B1
US 12,411,601 · App. 17/110,247 · Granted Sep 9, 2025

Systems and methods for conversion of administrative systems

Inventor: Wensu Wang (Katy, TX)
Assignee: DataInfoCom USA, Inc.
G06F3/0607G06F3/0683G06F16/214G06F18/214G06Q10/063G06Q10/06312G06Q10/06375
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Quick Facts
Patent No.
US 12,411,601
App. No.
17/110,247
Granted
Sep 9, 2025
Kind
B1
Abstract

Methods, systems and apparatuses, including computer programs encoded on computer storage media, are provided for automatically converting a legacy administrative system to a target administrative system. The data sets, product rules, business functions/processes, business rules, and calculation modules of both systems are analyzed by an analysis system to determine elements in common. Elements of the legacy system not present in the target system are generated and the legacy system is then fully migrated to the target system. For data required by the target system not present in the legacy system, data-driven prediction models may be used to predict the required data.

Claims (46)

1. A method for converting a legacy administration system to a target administration system, the method comprising:

analyzing the legacy administration system using an analysis system to determine its components, including data sets, product rules, business processes, and calculation modules;

analyzing the target administration system using the analysis system to determine its components, such as data sets, product rules, business processes, and calculation modules;

identifying data required by the target administration system not present in the legacy administration system;

generating a prediction model targeting the required data and trained using historical data or business rules in the legacy administration system;

predicting the required data using the prediction model;

migrating data from the legacy administration system to the target administration system in compliance with the target data structures and data definitions; and

storing the predicted data in the target administration system.

2. The method of claim 1 , further comprising migrating a product from the legacy administration system to the target administration system.

3. The method of claim 2 , wherein migrating the product comprises:

identifying at least product rule or condition comprising the product in the legacy administration system;

identifying at least one corresponding rule or condition in the target administration system based on the at least one legacy product rule or condition; and

creating a product in the target administration system based on the at least one corresponding rule or condition.

4. The method of claim 1 , further comprising migrating a business process from the legacy administration system to the target administration system, wherein the output of the new business process created in the target administration system matches the output of the legacy business process.

5. The method of claim 4 , wherein migrating a business process comprises:

identifying at least one rule used in the business process in the legacy administration system;

identifying at least one corresponding rule in the target administration system based on the at least one legacy rule; and

creating a business process in the target administration system based on the at least one corresponding rule.

6. The method of claim 1 , further comprising migrating a calculation module of the legacy administration system to the target administration system, wherein the output of the calculation module migrated to the target administration system matches the output of the legacy calculation module.

7. The method of claim 6 , wherein migrating a calculation module comprises identifying an item required by the calculation module not present in the target administration system.

8. The method of claim 7 , wherein migrating a calculation module further comprises generating the not present item using at least one business rule.

9. The method of claim 7 , wherein migrating a calculation module further comprises generating the not present item using at least one data-driven model.

10. The method of claim 1 , wherein the prediction model comprises a data-driven machine learning model.

11. A system for converting a legacy administration system to a target administration system, the system comprising:

an analysis system adapted to analyze an administrative system to determine its components, including data sets, product rules, business processes, and calculation modules;

a product conversion system adapted to convert at least one product from a legacy administrative system to a target administrative system; and

a migration system adapted to migrate at least one data set in the legacy administrative system to the target administrative system in accordance with the data structures and data definitions of the target administration system.

12. The system of claim 11 , further comprising a data modeling system, and wherein the migration system is configured to:

identify data required by the target administration system not present in the legacy administration system;

generate a prediction model using the data modeling system, the prediction model targeting the required data and trained using historical data in the legacy administration system;

predict the required data using the prediction model; and

store the predicted data in the target administrative system.

13. The system of claim 12 , wherein the prediction model comprises a data-driven machine learning model.

14. The system of claim 11 , wherein the product conversion system is configured to:

identify at least product rule or condition comprising the at least one product in the legacy administration system;

identify at least one corresponding rule or condition in the target administration system based on the at least one legacy product rule or condition; and

create at least one product in the target administration system based on the at least one corresponding rule or condition.

15. The system of claim 11 , wherein the migration system is configured to migrate at least one business process from the legacy administration system to the target administration system, wherein the output of the new business process created in the target administration system matches the output of the legacy business process.

16. The system of claim 15 , wherein the migration system is configured to:

identify at least one rule used in the at least one business process in the legacy administration system;

identify at least one corresponding rule in the target administration system based on the at least one legacy rule; and

create a business process in the target administration system based on the at least one corresponding rule.

17. The system of claim 11 , wherein the migration system is configured to migrate at least one calculation module of the legacy administration system to the target administration system, wherein the output of the calculation module migrated to the target administration system matches the output of the legacy calculation module.

18. The system of claim 17 , wherein the migration system is further configured to identify an item required by the calculation module not present in the target administration system.

19. The system of claim 18 , wherein the migration system is further configured to generate the not present item using at least one business rule.

20. The system of claim 18 , wherein the migration system is further configured to generate the not present item using at least one data-driven model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2025
From: WANG, WENSU
To: DATAINFOCOM USA, INC.
Reel/Frame 071630/0239 →
Continuity (1)
Provisional Application 62976191 · Feb 13, 2020
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