DATA GOVERNANCE
Data governance: Clear rules. Clear accountability. Clear control.
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Unclear responsibilities for data, models and processes?
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Regulatory pressure from the GDPR, the EU AI Act, the Data Act or NIS2?
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We establish an effective data governance model – robust from an organisational, regulatory and technical perspective.
Let’s find the right strategy for you
Non-binding, practical and concrete, approx. 15 minutes
Governance with a business focus
We connect law, technology and business and turning governance into a strategic enabler, not bureaucracy.
Clear accountability architecture
We create clear roles, decision-making paths and escalation structures.
Compliance by design
Regulatory requirements are structurally embedded – not fixed after the fact.
What is data governance?
Data governance is the management and control framework for the responsible handling of data within an organisation.
It defines:
- Who is responsible for which data
- Which rules apply to data use, quality and access
- How legal requirements are complied with
- How transparency, control and traceability are ensured
In short:
Data governance ensures that data is not a risk – but a controllable business asset.
It includes:
- Roles & responsibilities
- Guidelines & policies
- Data quality & standards
- Security & privacy by design
- Transparency & documentation
- Steering & monitoring
Which companies need data governance?
- Companies with AI ambitions: Organisations that want to scale AI use cases and need clear responsibilities, model transparency and governance by design to do so.
- Highly regulated industries: Companies in sectors such as finance, health/pharma, energy or critical infrastructure that need to manage complex compliance requirements in a structured way.
- Companies with complex data landscapes: Organisations with many systems, locations and departments that quickly risk data fragmentation without clear governance.
- Companies with data monetisation goals: Companies developing data products, platform models or data-sharing approaches that require clear rules for use, quality and access.
- Companies undergoing transformation: Organisations building a data office, introducing a CDO or implementing major digitalisation and integration programmes.
A clear roadmap to your data governance
Our work as external consultants for hundreds of companies of all sizes – including government authorities and corporate groups – has continuously sharpened and improved our approach. In just six steps, we provide you not merely with a governance concept on paper, but with an effective, lived control structure for data, AI and regulatory requirements.
Maturity assessment & gap analysis
We assess the maturity of your data capabilities, including data governance, identify structural weaknesses in roles, processes and policies, and use these insights to develop a prioritised roadmap for building an effective governance structure.
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Building a clear governance structure
We define data owners, data stewards and governance bodies, develop a robust accountability architecture, such as a RACI matrix, and establish clear decision-making and escalation processes.
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Regulatory mapping & compliance integration
We integrate regulatory requirements from the GDPR, the EU AI Act, the Data Act, NIS2 and other regulations into a structured compliance-by-design model. We also develop policies, guidance documents and documentation structures – including the creation of an AI inventory based on the ROPA.
3
Policies, Standards & control mechanisms
We develop data use policies, access models and data classifications, define quality standards and control mechanisms, and create structured auditability and evidence readiness.
4
Governance for AI & data use cases
We establish clear responsibilities for data, models and approvals, integrate privacy and security by design, and create monitoring and approval processes for AI systems.
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Operating model & sustainable integration
We integrate data governance into existing organisational structures, enable business departments through training and establish KPI-based steering for continuous development.
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ISiCO has a broad overview of many industries and is therefore familiar with how a wide range of different companies solve problems. This enables them to identify new ideas that can then find their way into companies such as ours.
Real impact not just concepts
We develop data strategies that deliver tangible results, not just concepts. We excel at combining business objectives, technology and governance to create a clear roadmap.
Without structured data governance |
With effective data governance |
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| Unclear responsibilities | Clear data owners & accountabilities |
| Data chaos & siloed solutions | Unified rules & standards |
| High audit & documentation effort | Structured compliance by design |
| AI roadblocks due to regulatory uncertainty | Governance as an enabler of innovation |
| Lack of transparency & control | Traceable data flows & audit trails |
| Reactive crisis management | Proactive steering & risk reduction |
| High risks from compliance gaps, e.g. fines, liability risks and reputational damage | Minimized liability and fine risk through integrated compliance structures |
Ready for consulting that doesn’t slow you down – but moves you forward?
In a conversation with our experts, you will learn what is possible – technically, legally and strategically. Highly concrete and fully tailored to your organisation.