Visual Interface for Non-Linear Business Logic Simulation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Business users lack the ability to understand and analyze complex business logic and data, leading to inefficiencies in monitoring corporate wellness and making decisions, particularly in heterogeneous metric environments where specialized training is often required.
Innovation Solution
A visual user interface that enables business users to manipulate non-linear calculations and run data-centric 'what-if' simulations, facilitating collaborative interaction and recursive scoring across compound rules, allowing for the aggregation and categorization of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If business logic is stored in calculations and programming, then the system can process complex business rules, but understanding the logic requires specialized training that deprives many people of the ability to understand assumptions
Solution Approach 1:
The patent creates visual copies of business logic through scorecards, KPIs, and threshold representations that mirror the underlying calculations and programming. These visual representations allow business users to understand and interact with complex logic without needing to comprehend the programming code itself, effectively copying the logic into an accessible visual format
Solution Approach 2:
The patent introduces visual intermediaries (scorecards, KPI visualizations, threshold graphs) that mediate between the complex programming logic and business users. These intermediaries translate complex calculations into understandable visual forms, allowing users to grasp business assumptions without specialized training
2Reliability
If the system monitors a broad array of heterogeneous metrics, then comprehensive corporate wellness assessment is achieved, but the costs and resources required to access and analyze the data become significant
Solution Approach 1:
The patent creates a universal scorecard framework that can monitor multiple heterogeneous metrics (financial, customer, staffing, process) through a single unified interface. This multi-functional system allows comprehensive corporate wellness assessment across diverse data types without requiring separate analysis tools for each metric type, reducing overall resource requirements
Solution Approach 2:
The patent combines multiple heterogeneous metrics and data sources into unified scorecards and KPIs. By merging disparate metrics (e.g., financial data, customer satisfaction, staffing levels) into integrated visual representations, the system achieves comprehensive monitoring while reducing the resources needed to access and analyze individual data sources separately
3Measurement precision
If specialized training is required to understand business logic, then accurate analysis is possible, but many business users are deprived of the ability to understand assumptions on which decisions are based
Solution Approach 1:
The patent segments complex business logic into discrete, manageable visual components including individual scorecards, KPIs, and threshold representations. Each segment represents a specific aspect of business logic that can be understood independently, allowing users to grasp complex assumptions through incremental visualization rather than overwhelming monolithic representations
Data Source
AI summary
User interface that enables a user to manipulate visual representations of non-linear business logic to define and run data-centric “what-if” simulations. The visual interface models non-linear calculations based on the mapping of an input value in a non-linear domain to a score range, which score range can be continuous or non-continuous. The interface presents variable graphical indicator representations, as well as proximity and sensitivity visualizations. Different models can be developed and tested using live data feeds and aggregated dependent data feeds. The visual interface employs recursive scoring, and facilitates collaborative interface interaction.


