ERR - The Connected Data Model
The Entity-Role-Relationship (ERR) model defines how a bank represents its world.
It connects entities (who or what exists), roles (what each does), and relationships (how they interact) in one coherent structure.
ERR replaces fragmented records with a single network of traceable, interlinked data.
What The ERR Model Describes
The three ERR data components create a structural map that any process or system can use consistently.
The Importance of Unique Identification
Each entity must have a unique, persistent identifier within the data model.
This allows all associated roles and relationships to connect unambiguously across systems and jurisdictions.
Without consistent identifiers, the network fragments:
The same client appears multiple times under different records.
Relationships lose lineage and risk becomes duplicated or obscured.
Structural analytics become unreliable.
A unified identifier set — internal, external (LEI, BIC, etc.), or hybrid — enables:
One-to-many linkage between entities and roles.
Cross-system reconciliation and consistent data lineage.
Accurate aggregation for regulatory, risk, and operational reporting.
Why It Matters
ERR provides the structural foundation that turns static data into connected intelligence:
Establishes a single structural truth across compliance, risk, and client systems.
Enables network-level visibility and traceable lineage.
Simplifies data governance and integration across functions.
Future-proofs the bank’s client data architecture for NSR, CNRM, and beyond.
ERR is where clarity of identity meets clarity of structure — the essential base for all network-aware risk management.