🆔Entity Identity Information Management

NEW

Also known as: EIIM

Discipline ensuring consistent, unique identification and cross-system reconciliation of real-world entities.

DESCRIPTION

Entity Identity Information Management standardizes how entities (e.g., customers, products, suppliers) are identified and recognized across systems. It defines authoritative identifiers, cross-references, and matching rules to reconcile duplicates and variants. EIIM supports master data management by establishing golden records and global IDs. It reduces fragmentation, improves data quality, and enables consistent analytics and regulatory reporting. Typical techniques include deterministic and probabilistic matching, survivorship rules, and stewardship workflows.

ALTERNATIVE DEFINITIONS

Wikipedia

Entity resolution is the process of determining whether records refer to the same real-world entity.

Focuses on the core matching problem within EIIM.

Source

Wikipedia

Master data management (MDM) is a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise’s official shared master data assets.

Highlights governance and uniformity central to managing entity identity.

Source

RELATED TERMS

Master Data Management Entity Resolution Surrogate Key Global ID Single Source of Truth Cross-Reference Lists Reference Data Management Systems Data Mapping Data Stewardship

COMPETING TERMS

Natural Key

KNOWLEDGE AREAS

Reference & Master Data Data Management Data Integration & Interoperability Metadata Management

TARGET AUDIENCE

Data Steward Data Architect Data Modeler Data Engineer Data Management Consultant Chief Data Officer

EXTERNAL SOURCES

• Wikipedia - Entity resolution
• IBM - IBM MDM overview and capabilities
• Informatica - Informatica MDM product overview
• Talend - MDM explanation and use cases
• W3C - Organization ontology for entities

TOP QUESTIONS

Why does Entity Identity Information Management matter?

It prevents duplicate entities, aligns records across systems, and enables reliable analytics. Without it, reporting and regulatory submissions become inconsistent and error-prone.

Category: Relevancy

How does EIIM relate to Master Data Management?

EIIM provides the identification and matching foundations for MDM. MDM broadens into governance, modeling, and publication of the mastered entity data.

Category: Example

What techniques are used in EIIM?

Deterministic matching, probabilistic matching, survivorship rules, and steward-driven review. Referential keys and crosswalks support system interoperability.

Category: Requirements

What’s a common mistake in EIIM projects?

Ignoring data stewardship. Automated matching without oversight can propagate incorrect merges and damage trust in mastered data.

Category: Mistakes

What risks arise from poor EIIM?

Duplicate entities, fragmented history, incorrect compliance reporting, and misdirected outreach cause financial and reputational harm.

Category: Risk

How do Global IDs fit into EIIM?

Global IDs serve as enterprise keys linking the same entity across systems, enabling accurate reconciliation and downstream analytics.

Category: Example

What’s the biggest misunderstanding about EIIM?

It’s not just a technical matching algorithm; it requires governance, data quality processes, and ongoing stewardship.

Category: Misunderstanding

What is a competing approach to EIIM with global IDs?

Using natural keys unique per system. While simpler locally, they break cross-system linkage and complicate integration.

Category: Alternatives

How should teams get started with EIIM?

Define entity definitions and match rules, audit quality, establish stewardship workflows, and pilot on one high-value domain (e.g., customer).

Category: Requirements