Database Conversion Tool for HR Data Migration
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Solution Overview
Problem
The complexity of migrating human resources data between companies during mergers or upgrades, requiring manual translation and custom-coded tools to handle different database formats and formats, leading to inefficiencies and increased complexity.
Innovation Solution
A data migration system comprising an import utility, a translation utility, and an export utility that facilitates comprehensive and repeatable data translation, using translation tables to map employee data from one format to another, and a report utility for generating accessible reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual translation and custom-coded tools are used to migrate human resources data between different database formats, then data accuracy and format compatibility are improved, but migration complexity and time consumption increase significantly
Solution Approach 1:
The patent implements a universal migration framework that can handle multiple database formats (Oracle, SQL Server, DB2, Sybase, etc.) through a single platform. The framework provides format-agnostic import/export capabilities with built-in translation utilities that automatically map data between different schemas, eliminating the need for separate custom-coded tools for each database pair and reducing overall system complexity while maintaining translation accuracy.
Solution Approach 2:
The patent introduces an intermediary migration framework that acts as a mediator between source and target databases. This framework includes translation utilities that serve as intermediaries to convert data between different formats and schemas, reducing direct complexity between incompatible systems while ensuring accurate data translation through structured mapping processes.
2Adaptability or versatility
If separate custom-coded agents are developed for each database format to handle migration and generate output files, then format-specific requirements are met, but development time and system complexity increase
Solution Approach 1:
The patent implements a universal migration framework that can handle multiple database formats (Oracle, SQL Server, DB2, Sybase, etc.) through a single platform. The framework provides format-agnostic import/export capabilities with built-in translation utilities that automatically map data between different schemas, eliminating the need for separate custom-coded tools for each database pair and reducing overall system complexity while maintaining translation accuracy.
Solution Approach 2:
The patent employs preliminary configuration of translation tables and data mapping schemas before actual migration executes. The system pre-defines format conversions, data type mappings, and relationship transformations, allowing the migration process to proceed efficiently without real-time complex processing. This preliminary setup enables the system to handle various database formats rapidly during execution.
3Reliability
If comprehensive data validation and translation processes are implemented to ensure data integrity during migration, then data quality is improved, but processing complexity and computational resources increase
Solution Approach 1:
The patent segments the data migration process into distinct modular stages: data extraction, validation, translation, transformation, and loading. Each stage has dedicated validation rules and processing logic, allowing comprehensive data integrity checks without overwhelming system complexity. The segmented approach enables parallel processing and independent optimization of each validation stage.
Solution Approach 2:
The patent implements feedback mechanisms throughout the migration process, including data quality validation, error detection, and correction loops. The system continuously monitors data integrity during translation and transformation, providing feedback for automatic correction or user intervention, ensuring high data reliability while managing processing complexity through iterative refinement.
Data Source
AI summary
A computer system for migrating human resources data from a first human resources data system to a second human resources data system. The computer system may comprise an import utility, a translation utility an export utility and a reports utility. The import utility may be for receiving first employee data from the first human resources system comprising employee attributes and applying an equivalency formula to a first employee attribute of the first data to convert the first employee attribute from a first human resources data system format to a target format. The translation utility may be for applying a translation table to the first data to generate translated data according to the target format; and storing the translated data at the target database. The export utility may be for generating an export file comprising the translated data arranged according to the second human resources data system format. The reports utility may be for receiving from a user a request to generate a report comprising requested employee attributes in at least one of the first human resources data system format, the second human resources data system format and the target format.