Absolute Target Metric Object for Asymmetrical Boundary Visualization
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Solution Overview
Problem
Business intelligence tools face challenges in measuring and visualizing the achievement of absolute target values, which are not based on maximizing or minimizing trends, especially when dealing with asymmetrical boundary conditions and aggregate measures.
Innovation Solution
A computer-readable medium with executable instructions to define an absolute target metric object, calculate percentage placements within specified boundary ranges, and represent the relationship between target and actual values, allowing for asymmetrical boundary conditions and aggregation into other percentage calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional business intelligence tools are used to measure performance metrics, then reporting and analysis capabilities are provided, but accurate measurement and visualization of absolute target achievement is not possible
Solution Approach 1:
The patent segments the target achievement measurement into distinct components: defining absolute target values, establishing boundary conditions (minimum and maximum acceptable values), calculating percentage placements within boundaries, and handling asymmetrical conditions. This segmentation allows each aspect to be addressed independently, improving measurement precision without overwhelming system complexity.
Solution Approach 2:
The patent introduces a new dimensional approach by calculating percentage placement not just relative to a single target value, but within a bounded range with asymmetric boundaries. This adds a dimensional framework that accommodates minimum and maximum boundaries, enabling accurate measurement of absolute target achievement that traditional single-point target systems cannot provide.
2Measurement precision
If asymmetrical boundary conditions are implemented for absolute targets, then accurate performance measurement is enabled, but calculation complexity increases
Solution Approach 1:
The patent changes the parameters of target measurement from traditional single-value targets to multi-parameter boundary conditions. By defining minimum boundary values, maximum boundary values, and allowing asymmetric ranges, the system achieves accurate performance measurement. The calculation methodology adapts to these parameter changes by computing percentage placements relative to the specific boundary conditions rather than a central target point.
3Productivity
If aggregate measures combining multiple metrics are calculated, then comprehensive performance analysis is provided, but accurate aggregation of absolute target metrics with asymmetrical boundaries becomes difficult
Solution Approach 1:
The patent creates a universal calculation framework that can handle multiple types of metrics simultaneously. The percentage placement calculation methodology is designed to work with absolute targets having asymmetrical boundaries, and this same framework can be applied to aggregate measures combining multiple metrics. This multi-functional approach enables comprehensive performance analysis without requiring separate complex systems for different metric types.
Data Source
AI summary
A computer-readable medium includes executable instructions to define a target value, define an achievement boundary range, define specific values for the achievement boundary range, and combine the target value, achievement boundary range, and specific values associated with the achievement boundary range to form an absolute target metric object.