What is Master Data Management (MDM)?

Company data & APIs
Master company data
3 min read

The short answer

Master data management governs the consistent identification and maintenance of core business entities across systems.

Master Data Management (MDM): why it matters

Automated company-data workflows need clear meanings and traceable transformations. An operation that runs successfully can still produce a result that is unsuitable for the intended business question.

How to assess it in practice

Define entity ownership, matching policy and change governance before declaring one record authoritative. Start by defining the question the team needs to answer. Identify the relevant record or evidence, check its scope and date, and retain the reasoning behind the result. If evidence conflicts, keep that conflict visible for review.

Worked example

Illustrative workflow: a team reviewing a business adds a separate check for master data management (mdm). The reviewer’s task is to define entity ownership, matching policy and change governance before declaring one record authoritative. The outcome is recorded together with the supporting evidence; an unresolved question stays open rather than being converted into a positive result.

Illustrative scenario

Finance and sales use different meanings of customer. Define those objects and their relationships before forcing both systems into a single undifferentiated company record.

Distinctions that matter

Master Data Management (MDM) belongs to the master company data topic family. Read Golden Record alongside it to understand the adjacent question. Each page has its own intended scope; shared context does not make the concepts equivalent.

Evidence and review output

Review these

Entity model and stable keys
Field authority and survivorship
History and downstream mappings

The review should produce

A governed company representation that preserves the evidence behind selected values and relationships.

Across this family

A shared company model needs explicit entity boundaries, attribute ownership and conflict rules. Separate original sources from mastered values and commercial accounts. Governance makes the record usable across teams; placing data in one table does not by itself resolve contradictory meanings.

A note from practice

MDM needs ownership of entity definitions, matching policy, survivorship and distribution. A central table alone does not resolve conflicts between legal entities, establishments and commercial accounts.

Limits and common mistakes

The practical boundary is important: Define entity ownership, matching policy and change governance before declaring one record authoritative. Do not substitute a related label for this check or assume that missing information is a negative finding. Source-specific and jurisdiction-specific rules require their own review.

Frequently asked questions

Which evidence should I review?

For this topic, focus on entity model and stable keys, field authority and survivorship, history and downstream mappings. The relevant source and dates should be retained with the finding.

How is Master Data Management (MDM) different from Golden Record?

A golden record is a consolidated representation selected under defined rules for an entity’s attributes. The distinction matters because the evidence needed for that concept may not resolve the question addressed on this page.

What should the result of the review contain?

A governed company representation that preserves the evidence behind selected values and relationships. Preserve material conflicts instead of replacing them with an unexplained success flag.

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