Together, we establish clear responsibilities, reliable data quality, and transparency — the foundation for secure, efficient, and data-driven decision-making.
We develop Data Governance that truly works: pragmatic, value-driven, and culturally embedded. Our approach connects strategy, organization, and data culture into a system that builds trust, ensures quality, and creates real impact in day-to-day operations.
Together, we clarify goals, priorities, and areas for change. This creates transparency around relevant initiatives and use cases — forming the foundation for Data Governance that aligns with real value creation and compliance requirements.
We take a use-case-driven approach: small, effective steps instead of large, abstract concepts. Improvements are tested in practice, measured for impact, and scaled up when successful.
We establish clear responsibilities, decision paths, and governance frameworks — whether Data Governance is implemented within a Data Mesh or a traditional model. The result: structure, speed, and trust in your data.
Technology alone isn’t enough. We address cultural factors from the start, promote data literacy and accountability, and ensure governance becomes part of daily routines — fostering lasting acceptance and engagement.
In our Data Governance Kick-off Workshop, we lay the foundation for a successful start. Together, we define objectives, responsibilities, and the right governance approach for your organization. This creates a clear understanding of the structures, processes, and cultural factors needed to manage data securely, efficiently, and with measurable business value.
As soon as data from different systems is used — for reporting, automation, or AI — clear responsibilities and quality rules are essential. Without governance, the risk of errors, duplicated effort, and compliance violations increases significantly.
No. Medium-sized companies, in particular, benefit from a pragmatic governance structure. It brings order, reduces effort, and ensures that data projects deliver impact faster — without unnecessary bureaucracy or expensive additional tools.
Our approach is lightweight and modular. We start where the greatest value can be achieved — often with a concrete use case — and gradually expand governance from there. This way, results are visible early on, and structure never becomes an end in itself.
Key roles include Data Owner, Data Steward, and Data Governance Lead. The crucial point is to clearly distribute responsibilities — across IT, business units, and management — and anchor them in day-to-day processes.
Governance only works if it’s understood and supported. That’s why we place strong emphasis on communication, training, and data culture — ensuring that governance is seen not as control, but as an enabler.
