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Consulting on data management

Do employees in your organization know where to find data? Are you eager to get started with AI, but is your data quality insufficient? Is data fragmented across the organization?

The importance of data management

Data are a crucial foundation for management information, decisions, and efficient processes. It's a production factor in organizations. Many organizations don't pay enough attention to data and their value. When it matters most, it turns out to be inadequately usable. This poses a significant risk.

Properly managing data is a discipline in itself. It requires clear roles, tasks, responsibilities, and processes. Key elements include explicit attention to data quality, metadata, data modeling, and a sound data architecture. Knowledge and experience with these topics are essential for rapid improvement.

What do we have to offer?

We have years of experience with all facets of data management. As architects, we understand what constitutes good data architecture, but we can also provide broader advice on the topic. We have experience establishing data governance in organizations. We are experts in data quality, metadata management, and data modeling. We played a leading role in defining the data quality framework, the data quality roadmap, and the vision for metadata management in the Dutch Government Reference Architecture (NORA). We can also provide practical assistance with defining concepts or data models.

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