Master data - definition, maintenance and practice in DACH SMEs

What Is Master Data? — Definition and Characteristics

Why Master Data Quality Is Now Crucial for SMEs

Practical Example: Anonymised Dreher Project Anecdote

What Most Master Data Consultancies Won't Tell You

Our take: master data success in SMEs depends on pragmatic prioritisation, DACH-specific compliance and realistic legacy planning.

How We Approach Master Data Methodically

Common Mistakes in Master Data Projects

Frequently Asked Questions

What is the difference between master data and transaction data?

Master data is static information about entities that changes rarely and is used in many places. Transaction data is generated by transactions.

How long should I retain master data?

In Germany: 3 years (HGB) or 10 years (GoBD). Personal data is governed by GDPR.

Do we need an expensive MDM tool?

No. In SMEs, a pragmatic approach is often more cost-effective. Tools come after governance.

How do I integrate legacy systems?

Run a mapping exercise, define quality checks, validate manually, then migrate.

Next steps

If you would like to discuss these topics in more detail, we invite you to a free 30-minute consultation.

Matthias Müller
Senior Consultant Process Optimization, ERP & Digitalization

Matthias supports medium-sized companies through complex ERP implementations and specializes in the methodical integration of process design and system selection.

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Master Data — Definition, Maintenance and Practical Application in SMEs in Germany, Austria, and Switzerland