Knowledge Graph
Vision™'s Knowledge Graph is an operational graph database that continuously learns and updates as your organization evolves. It's not just a visualization—it's the intelligence layer that powers all analysis and recommendations.
What is the Knowledge Graph?
The Knowledge Graph is a dynamic, relational database of your organization. Unlike traditional databases that store isolated data points, the Knowledge Graph stores entities and their relationships, creating a rich, interconnected model of your business.
Core Concepts
Nodes (Entities)
Every entity in your organization is a node:
- Departments: Organizational units
- Processes: Workflows and procedures
- Systems: Technology platforms and tools
- KPIs: Key performance indicators
- People: Key personnel and roles
- External: External factors and dependencies
Relationships
Relationships connect nodes and have:
- Type: dependency, workflow, data-flow, reporting
- Strength: 0.0 to 1.0 (how strong the relationship is)
- Confidence: 0.0 to 1.0 (how certain we are about the relationship)
- Metadata: Additional context and properties
How It Works
Continuous Learning
The Knowledge Graph updates automatically as:
- Projects are executed
- Systems are integrated
- Processes change
- Data flows through your organization
- Outcomes are recorded
Relationship Strength Calculation
Relationship strength is calculated based on:
- Frequency of interaction
- Volume of data flow
- Time spent in relationship
- Historical patterns
Using the Knowledge Graph
Querying the Graph
You can query the graph to:
- Find all entities of a specific type
- Trace dependencies between entities
- Find paths between nodes
- Identify clusters and communities
- Discover hidden relationships
Path Finding
Use path finding to understand:
- How changes in one area affect others
- Critical dependency chains
- Optimization opportunities
- Risk propagation paths
Integration with Analysis
The Knowledge Graph powers:
- Constraint Identification: Finds bottlenecks and dependencies
- Opportunity Discovery: Identifies optimization paths
- Risk Assessment: Traces risk propagation
- Strategic Sequencing: Determines optimal execution order
- Impact Analysis: Predicts system-wide effects
Best Practices
- Review relationship strengths regularly
- Use path finding to understand complex dependencies
- Monitor graph updates to track organizational changes
- Leverage the graph for strategic planning