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Also known as: Gartner MDM definition
Gartner characterizes MDM as a discipline ensuring uniformity, accuracy, stewardship, and accountability of shared master data assets.
DESCRIPTION
Gartner’s widely cited definition frames MDM as a business-IT discipline that governs core master data. It emphasizes consistency, accuracy, stewardship, and accountability across the enterprise. The definition underpins many MDM programs and vendor platforms. It guides organizations toward governance, quality controls, and sustainable distribution of master data. Gartner’s perspective is vendor-agnostic but often shapes market evaluations.
ALTERNATIVE DEFINITIONS
Gartner
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.
Stresses collaboration and comprehensive control characteristics.
IBM
Master data management (MDM) is the process of creating a single master record for each person, place, or thing in a business, from across internal and external data sources and applications.
Focuses on single master record creation across sources.
RELATED TERMS
Master Data Master Data Management Governance Single Source of Truth Data Quality Reference Data Metadata Management
COMPETING TERMS
Forrester’s Definition of MDM DAMA-DMBOK MDM definition
RELATIONS
- Broader: Master Data Management
KNOWLEDGE AREAS
Reference & Master Data Data Management Data Governance Data Architecture
TARGET AUDIENCE
Chief Data Officer Data Governance Manager Data Steward Data Management Consultant Data Architect
EXTERNAL SOURCES
- Wikipedia - Master data management
- Gartner - Canonical Gartner MDM definition
- IBM - Vendor-neutral overview with examples
- Microsoft - Azure reference MDM scenario
TOP QUESTIONS
Why is Gartner’s Definition of Master Data Management influential?
It provides a clear, widely adopted framing that aligns business and IT, influencing vendor strategies and enterprise programs.
Category: Relevancy
How does Gartner’s definition inform governance design?
It emphasizes stewardship, accountability, and semantic consistency, guiding policies and roles in MDM operating models.
Category: BestPractice
What is the biggest misunderstanding about Gartner’s MDM definition?
Some view it as purely a technology solution; Gartner frames it as a cross-functional discipline supported by technology.
Category: Misunderstanding
How does Gartner’s definition relate to golden records?
It implies consistent, accountable master data, often realized via golden records that unify identifiers and attributes.
Category: Example
What risks arise if organizations ignore this definition?
Inconsistent master data leads to duplicated records, reporting conflicts, and integration failures across systems.
Category: Risks
How does Gartner’s view compare to DAMA-DMBOK?
Both stress governance and consistency; DMBOK expands into broader data management disciplines beyond MDM.
Category: Comparison
Where should teams start applying Gartner’s MDM definition?
Identify critical domains, appoint stewards, and implement matching, survivorship, and distribution controls.
Category: GettingStarted
How does cloud affect Gartner’s MDM definition?
Cloud expands scale and integration options but does not change the foundational need for governance and consistency.
Category: Opinion
What KPIs align with Gartner’s MDM framing?
Match accuracy, duplicate reduction, attribute completeness, and consumer adoption of mastered entities.
Category: Measurement