How to Understand Your Knowledge Graph

How to Understand Your Knowledge Graph

Your knowledge graph consists of six types of nodes connected by twelve types of relationships. You don't need to know the technical details—Aether handles the classification but here's what the system identifies:

What the System Detects

Business Objects (Entities): Your core business data automatically classified by type:

• Sales domain: Deals, Companies, Activities, Commitments
• Analytics domain: Performance Records, Products, Root Causes, Action Items
• Your data determines what appears

People (When Applicable): If your data includes individuals:

• Account owners, managers, team members
• Who reports to whom
• Who's responsible for what

Organizational Context (Dimensions): How your business is structured:

• Time: Quarters, months, planning cycles
• Location: Regions, offices, territories (EMEA, AMER, etc.)
• Hierarchy: Reporting structures, role levels
• Taxonomy: Product categories, cost centers, custom classifications

Workflows (Processes): The stages your entities move through:

• Sales: Discovery → Demo → Negotiation → Closed
• Analytics: Variance Detected → Root Cause Identified → Action Planned

Intelligence (Concepts & Rules) Patterns Aether discovers automatically:

• Concepts: States your entities can be in ("at_risk," "stalled," "high_performer")
• Rules: Why those states occur ("IF activity_gap > 7 days THEN at_risk")

How Everything Connects

The system creates twelve types of relationships:

Ownership & Structure

• Who's responsible for what
• Where things are positioned (region, time period, category)
• What workflow stage something's currently in

Causality (for root cause analysis)

• What caused a problem
• What action addresses which issue

Intelligence (the "why" behind insights)

• Which entities match which concepts
• Which rules detected those concepts
• What historical evidence supports each rule

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