Data & Infrastructure

Data Governance

Data governance encompasses the policies, processes, and responsibilities that ensure enterprise data is managed correctly, securely, accessibly, and compliantly. It defines who may access which data, how data quality is ensured, and how regulatory requirements like GDPR are met.

Why does this matter?

Without data governance, AI becomes a risk factor: Who may use which data for AI training? Is training data GDPR-compliant? Who is liable for faulty AI decisions based on incorrect data? Data governance answers these questions and creates the legal and organizational foundation for trustworthy enterprise AI.

How IJONIS uses this

We establish pragmatic data governance frameworks suited to mid-sized businesses — no corporate bureaucracy, but clear roles (Data Owner, Data Steward), defined access policies, and automated compliance checks. Governance is integrated into your existing processes, not built as a parallel system.

Frequently Asked Questions

Does a mid-sized company really need data governance?

Yes, at the latest when you deploy AI or process personal data. But the scope must fit the company: for a mid-sized business, a lean framework with three to five clear rules and defined responsibilities often suffices — not a 200-page rulebook.

How are data governance and GDPR related?

GDPR sets legal requirements for handling personal data. Data governance is the organizational framework ensuring these requirements are implemented in practice — from access controls to deletion periods to documentation of data processing.

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