From master data maintenance to SAP MDG: Ensure data quality, efficiency and compliance in the long term

Corporate Data Organization

The Key to Digitization in SMEs

Sustainably establishing data-driven work in the company



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How Companies Are Finally Gaining Control Over Their Data

Does this sound familiar?

  • Are your purchasing decisions based on outdated or incomplete data?
  • Do orders take too long because roles, rights, or access are unclear?
  • Despite modern ERP tools such as SAP, is process automation faltering?

If so, you are like many companies in the SME sector. The problem is usually not the technology itself, but rather the disorganization of the data — specifically, the inadequate linking of master data, access, and responsibilities. This is precisely where Corporate Data Organization Governance (CDOG) comes in.

 

What does CDOG actually mean, and why is it more than just data management?

CDOG stands for "Corporate Data Organization Governance" and describes a structured, company-wide approach to intelligent collaboration between organization, processes, and data management.

It is not only concerned with technical issues, such as master data maintenance or user rights. Rather, it is about:

  • What data do employees need in their roles and at what times?
  • Who is responsible for which data?
  • How can we ensure data quality automatically instead of updating it manually?
  • How can we avoid data disruptions between systems, departments, and processes?

CDOG links two central levels for this purpose:

  • Data Access Governance (DAG) regulates who can access what.
  • Data Productivity Governance (DPG) ensures that data is used efficiently and sensibly.

Together, they form the backbone of an intelligent, future-proof data organization without bureaucracy but with impact.

 

Why Does Digitization Slow You Down Without Data Organization

Very few companies have a clear understanding of who is responsible for what in the world of data. They don't know where data is generated, how it may be used, or how to ensure it is always available correctly, completely, and in context. This leads to:

  • Data breaches between departments.
  • Segregation of duties conflicts in the ERP system
  • High manual effort due to workaround solutions
  • Compliance risks, e.g., in accounting
  • Lost potential for AI, automation, or ESG reporting

 

What are the benefits of the white paper?

The white paper provides concrete answers to the questions concerning IT managers and specialist departments today.

  • What is Corporate Data Organization Governance (CDOG)?
  • How can master and transaction data be linked intelligently?
  • What role do data access governance (DAG) and data productivity governance (DPG) play in this?
  • How do you set up a data ownership framework with clear responsibilities?
  • What is required to gradually transform an organization into a "data-driven company"?

 

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Learn more about:

  • Faster processes through clear data flows
  • More security and compliance through controlled data access
  • Less manual rework and more automation.
  • True scalability for AI and digitalization initiatives.

 

The white paper is aimed at the following areas:

  • Data and process management
  • Compliance and risk management
  • Department management for purchasing, finance, and logistics
  • Management consulting and strategy.
  • IT management and C-level management.




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