Data Quality

Relationship Graph

A relationship graph maps connections between people, entities, vehicles, and deals to show influence, control, and routing pathways.

Allocator relevance: Graphs reveal who actually influences decisions and how to reach them—often more predictive than titles.

Expanded Definition

A relationship graph links principals, CIOs, controllers, trusts, holding companies, SPVs, and portfolio entities. For allocator intelligence, graphs help with: household mapping, beneficial ownership context, introduction paths, and detecting conflicts of interest.

Graphs must be evidence-weighted; otherwise they become “pretty connections” that mislead.

Decision Authority & Governance

Governance defines relationship types, directionality, confidence thresholds, and how conflicts are represented. It also defines entity resolution rules so the graph doesn’t split into duplicates.

Common Misconceptions

  • A graph is the same as a list of relationships.
  • More edges means more truth.
  • Graphs don’t need freshness (relationships change).

Key Takeaways

  • Graphs add routing and influence context.
  • Confidence and freshness are mandatory in graphs.
  • Deduplication is graph quality.