Business Problem Network Visualization System
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Solution Overview
Problem
Current network visualization techniques are not effectively applied to business problems due to complexity in identifying interrelations between multi-dimensional issues and determining the relative importance of problems, limiting their application in business problem spaces.
Innovation Solution
A system and tool for identifying and visualizing interrelationships among business problems using a business problem repository, connection engine, connections repository, and visualization engine, which applies a one-to-one comparison scheme to generate connection scores and create a business problem network, enabling users to filter and search problem statements interactively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If network visualization techniques are applied to business problems, then interrelationships can be visualized, but complexity in identifying interrelations and determining relative importance prevents effective application
Solution Approach 1:
The system segments the complex task of analyzing business problem interrelationships into distinct modular components: a connection engine that performs pairwise comparisons, a scoring mechanism that quantifies relationships, and a visualization engine that renders the network. This segmentation allows each component to handle a specific aspect of the complexity, making the overall system manageable and effective.
Solution Approach 2:
The system transforms qualitative business problem relationships into quantitative parameters through connection scores generated by the comparison scheme. By converting interrelationship strength into measurable numerical values, the system enables automated analysis and prioritization, reducing the complexity of determining relative importance manually.
2Measurement precision
If manual identification of problem interrelations is performed, then accuracy can be maintained, but time and effort required increase significantly
Solution Approach 1:
The system enables self-service automated analysis by implementing a connection engine that autonomously performs pairwise comparisons of business problems and generates connection scores without manual intervention. The visualization engine then automatically renders the network, allowing the system to serve itself in identifying and visualizing interrelationships, thereby maintaining accuracy while eliminating time-consuming manual processes.
Solution Approach 2:
The system replaces the mechanical manual process of identifying and analyzing problem interrelations with an automated computational mechanism. The connection engine uses algorithmic comparison schemes to systematically evaluate relationships, substituting human manual analysis with automated processing that maintains precision while dramatically reducing time requirements.
Data Source
AI summary
A system for identifying and visualizing one or more interrelationships occurring amongst a plurality of business problems is provided. The system includes a business problem repository configured to store a plurality of business problem statements. Each business problem statement includes a plurality of components. The system also includes a connection engine coupled to the business problem repository and configured to determine one or more connections for the plurality of business problem statements by applying a one-to-one comparison scheme that is configured to generate a connection score for each comparison. The system further includes a connections repository coupled to the connection engine and configured to store the plurality of connections and corresponding connection scores. Further, a visualization engine is coupled to the connections repository and configured to generate a business problem network. The business problem network includes nodes and connections, each node representing a single business problem statement.