Legacy Schema to Payroll Policy Conversion Framework
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Solution Overview
Problem
Configuring an information system to implement payroll policies across different geographic locations is complex and time-consuming, requiring meticulous identification and implementation of various policies, often necessitating the use of consultants to write code and set parameters, which is inefficient.
Innovation Solution
A method and apparatus that identify a legacy schema for a payroll system, expand it to recognize functions and rules, and transform them into a payroll policy, using a conversion framework to generate external payroll policies that can be directly accepted by a new payroll system, reducing the complexity of policy configuration and implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If consultants manually identify and implement payroll policies by writing code and setting parameters, then policy implementation accuracy is improved, but configuration time and complexity increase significantly
Solution Approach 1:
The patent creates a copy of the legacy schema structure and transforms it into the new system's policy format. Instead of manually recreating policies, the system automatically copies and converts the schema definition, maintaining accuracy while eliminating manual coding time. The conversion framework replicates the legacy schema's logic and rules in the target system's native format.
Solution Approach 2:
The patent introduces a conversion framework as an intermediary between the legacy schema and the new payroll system. This intermediary automatically translates and adapts the legacy schema into the new system's policy format, eliminating the need for manual consultant intervention while preserving implementation accuracy through systematic transformation rules.
2Adaptability or versatility
If multiple legacy systems are used for different geographic locations, then adaptability to local laws is improved, but system complexity increases
Solution Approach 1:
The patent creates a universal conversion framework that can handle multiple legacy schemas from different geographic locations through a single unified process. The framework is designed to be multi-functional, accepting various legacy system formats and converting them all to the new system's policy format, thereby maintaining adaptability to local laws while reducing overall system complexity.
Solution Approach 2:
The patent segments the complex multi-legacy-system problem into manageable units by treating each legacy schema as an independent, self-contained unit. The conversion framework processes each schema separately through standardized transformation steps, making the overall system less complex while maintaining the ability to handle diverse geographic requirements.
3Manufacturing precision
If payroll policies are configured manually for each location, then policy accuracy is improved, but productivity decreases
Solution Approach 1:
The patent enables the system to convert and implement payroll policies automatically without requiring manual consultant intervention. The conversion framework performs self-service by automatically translating legacy schemas into new system policies, maintaining accuracy through systematic transformation while dramatically improving productivity through automation.
Solution Approach 2:
The patent performs preliminary actions by pre-defining conversion rules and transformation logic within the conversion framework. These preliminary configurations enable automatic, accurate policy generation without manual intervention during the actual conversion process, thereby improving both accuracy and productivity simultaneously.
Data Source
AI summary
A method, system, and computer program product are provided for generating an external payroll policy for a payroll system. A legacy schema is identified for execution by a legacy payroll system. A set of functions and rules is identified within a processing flow of the legacy schema. The external payroll policy is generated in a selected format type, according to a processing flow of the functions and rules that were identified within the legacy schema.