Compensation Adjustment Visualization System
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Solution Overview
Problem
Current information organization methods and data models do not provide an efficient way to visualize and compare compensation adjustments for employees, leading to increased time and resources required for compensation adjustments.
Innovation Solution
A method and apparatus that identify merit groups for employees based on evaluations, apply compensation adjustment parameters to determine adjustments for each merit group, and display the impact of these adjustments in a compensation adjustment scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If current information organization methods and data models are used to access compensation information, then basic compensation data can be retrieved, but the time and resources needed to perform compensation adjustments become greater than desired
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing compensation adjustment scenarios before actual adjustments are needed. The compensation modeler pre-processes employee data, merit group classifications, and compensation parameters to create ready-to-apply adjustment scenarios, eliminating the need for time-consuming real-time calculations during compensation review periods
Solution Approach 2:
The system introduces a compensation modeler as an intermediary component that sits between the raw employee data and the final compensation decisions. This intermediary automatically processes data, applies adjustment parameters, and generates visualizations, reducing the manual time and resources needed for compensation adjustments
2Loss of information
If current information organization methods are used, then compensation data can be accessed, but visualization and comparison of compensation adjustments become difficult
Solution Approach 1:
The system adds a new dimensional layer by transforming traditional one-dimensional compensation data into multi-dimensional visualizations. The compensation modeler creates graphical representations that show compensation adjustments across multiple dimensions including employee merit groups, adjustment parameters, and financial impact, making complex data easily comparable and visualizable
Solution Approach 2:
The system uses visual differentiation through color coding and graphical representations to show compensation adjustment impacts. Different merit groups and adjustment scenarios are visually distinguished through colored charts and graphs, enabling users to quickly compare compensation impacts without increasing system complexity
3Ease of operation
If manual compensation adjustment methods are used, then basic compensation reviews can be performed, but significant computational resources and managerial time are required
Solution Approach 1:
The compensation modeler performs self-service by automatically processing employee data, classifying merit groups, applying adjustment parameters, and generating visualizations without requiring manual intervention. The system feeds on its own inputs (employee data, adjustment parameters) and produces outputs (compensation scenarios, impact analyses) autonomously, reducing the computational and temporal resources that would otherwise be required for manual processing
Data Source
AI summary
A method and apparatus visualizing compensation adjustments for employees of organization. A computer system identifies a number of merit groups for a group of employees based on employee evaluation for employees in the group of employees. The computer system identifies a number of compensation adjustment parameters. The computer system applies the number of compensation adjustment parameters to a compensation distribution of the group of employees to determine a compensation adjustment for each merit group. The computer system determines impact of the compensation adjustment on the compensation distribution of the group of employees. The computer system displays the impact of the compensation adjustment in a compensation adjustment scenario.