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Glossary
Data Management

Master Data Management (MDM)

Master data management (MDM) is a process that ensures the consistency, accuracy, and availability of critical business data.

Meaning in detailContact us now

What is the goal of Master Data Management?

The goal of MDM is to create a “golden source” for every entity. This means that there is a single, definitive source of truth for every unit of master data. This prevents data redundancy, inconsistencies and errors that can lead to incorrect decisions, inefficient processes and high costs.

What are the different activities of MDM?

  • Data collection: Collecting master data from various sources.
  • Identification of master data: Determine the data that is to be classified as master data.
  • ‍Data cleansing: Correcting errors and inconsistencies in master data.
  • Data coupling: Linking master data sets from various sources.
  • Data maintenance: Update and manage master data over time.
  • Data security: Protecting master data from unauthorized access.

What are the benefits of MDM?

  • Improved decision making: Consistent and accurate master data enables companies to make more informed decisions.
  • Increased efficiency: By avoiding data redundancy and errors can make companies more efficient in their processes.
  • Improved customer satisfaction: Accurate customer data enables companies to offer their customers a better service.
  • Increased data security: By protecting master data, companies can reduce the risk of data leaks and identity theft.

What are the challenges of MDM?

  • Costs: Implementing and maintaining an MDM solution can be expensive.
  • Complexity: Implementing an MDM solution can be a complex and time-consuming process.
  • Data quality: The quality of master data must be guaranteed before it can be managed in an MDM solution.

The topic of master data management is central to many aspects of our services. Data Governance, data management Or even Data infrastructure and architecture.

Note: This glossary was created and maintained with the support of AI technologies such as Gemini and ChatGPT.

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Which services fit to
Master Data Management (MDM)
?

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Data Architecture

The right tools in the right place. Update the existing infrastructure or renew most of it.

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Data Governance

Not boring or stuffy at all: Aligning ideas and rules

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Data Organization

So that the handling and responsibility of data is structured and everyone knows its responsibilities.

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Data Strategy

When what happens how and why — that explains the data strategy.

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Reporting & Business Intelligence

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