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Process Management

Business Process Owner in the Mittelstand
Process Management

Source-to-Pay in the DACH Mittelstand

Published: May 11, 2026 (Updated: Jun 1, 2026) By

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Definition

Master Data: Definition, Maintenance & Practical Application in the DACH Mittelstand

Master data is the foundational information your business processes are built on. In Mittelstand companies, its quality is often underestimated. We show you how to manage master data methodically — without falling into corporate-style governance. 


What Is Master Data? — Definition and Characteristics

Why Master Data Quality Is Now Crucial for the Mittelstand

Practical Example: Anonymised Dreher Project Anecdote

What Most Master Data Consultancies Won't Tell You

Our take: master data success in the Mittelstand 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

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

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

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

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.

 
mattius

 


Matthias Müller
Senior Consultant Process Optimization, ERP & Digitalization

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

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