Data governance and GDPR for Mons organisations: controls that produce evidence

The question that exposes an analytics estate is simple: who could see this dataset last quarter? In most organisations the honest answer takes a week of investigation.

This page covers data governance and compliance for analytics estates in Mons: what the Data Protection Authority (APD / GBA) expects under the EU GDPR and the Belgian Data Protection Act of 2018, which sector rules bite hardest given the local economy of software and technology, logistics and freight, and defence and security, and how to implement controls in Microsoft Purview and Power BI that produce evidence rather than paperwork.

What the Data Protection Authority (APD / GBA) expects of an analytics estate

Under the EU GDPR and the Belgian Data Protection Act of 2018, four obligations land on an analytics estate harder than the rest: collect no more than you need, keep it no longer than you must, control who can reach it, and be able to answer an access or erasure request. Analytics estates fail these quietly: a warehouse accumulates every column from every source because it was easier than deciding, retention defaults to forever, and permissions are granted to individuals who then change role.

• Belgium's federal structure means some reporting obligations sit with the regions (Flanders, Wallonia and Brussels) rather than nationally, which multiplies the datasets a single organisation must produce.
• Language legislation affects employee-facing systems: reporting used in employment contexts may need to be available in the language of the region where staff are employed.
• As the host of the EU institutions, Brussels has an unusual concentration of organisations working to EU-level reporting rules ahead of national implementation.
• NIS2 and DORA apply in full, and the Belgian transposition brings supervisory reporting duties for in-scope operators.

None of this requires a governance department. What it needs is a searchable catalogue, classification that is wired to retention and labelling rather than decorative, group-based access, and the ability to produce evidence without raising a ticket. All four are weeks of work, not years.

Sector rules that bite in Mons

Mons's economy means the governance conversation here is not generic. With a digital innovation and data centre cluster and major NATO military command facilities nearby shaping the local client base, these are the obligations that come up in practice.

Logistics and freight

Drivers' hours records, customs declarations and posting documentation all carry retention obligations and are frequently requested in audit. Event data from scanners, telematics, EDI and transport management systems, each with its own timestamp semantics and time zone handling.

The practical consequence for an analytics estate is that access design cannot be retrofitted. Row-level and object-level security have to reflect how authority is actually delegated in the organisation, and the design needs testing from a non-privileged account rather than assumed from documentation.

Higher education and research

Student data is personal data with additional duties around special-category attributes, and research data may carry funder-specific restrictions. Typical systems in scope: student records system, research grant management, finance system, virtual learning environment and HR.

Defence and security

Security classification, export control and in some cases national security vetting govern who may access programme data.

Who can see what, and how you prove it

This is the question that exposes an estate, and the fix is unglamorous. An estate built on individual grants can only be evidenced by investigation. One built on directory groups aligned to your control model can be evidenced by running a report.

The sequence is always the same: extract the permissions that actually exist, design groups around how the organisation really delegates authority, migrate and remove the individual grants, then make the evidence self-service so your second line runs the report instead of raising a request. For a business in logistics and freight, the groups normally need granularity by function and by entity or site.

Classification, labels and the export problem

Where data escapes, it is normally through a spreadsheet someone needed for a legitimate reason. That is why the control has to travel with the file rather than live in a policy document. Sensitivity labels applied in Power BI travel with the exported file, so encryption and access restrictions persist outside the platform, and export can be blocked entirely for specific labels or audiences.

The classification scheme has to align to the information security policy you already have rather than introduce a competing taxonomy, and retention has to be enforced against your actual obligation under the EU GDPR and the Belgian Data Protection Act of 2018 instead of kept forever by default. Every control is then verified from a non-privileged account, because the most common finding in a governance review is a restriction that was configured correctly and never actually tried.

Working with Belgian organisations: the practical constraints

• Bilingual or trilingual stakeholder groups are the norm: plan for Dutch, French and English in the same programme.
• Works council and trade union consultation applies to systems that can monitor individual performance, similar to Germany.
• Many Belgian organisations operate as the European hub of a larger group, so local analytics has to reconcile with group reporting standards.

Belgium's federal structure means some obligations sit with the regions rather than nationally, which multiplies the datasets a single organisation must produce. Language legislation also affects employee-facing reporting, so the same report may need to exist in Dutch and French.

A 90-day plan that produces evidence

1. Days 1 to 15: assessAccess extract versus policy, data map, classification gaps, retention reality. Output is a risk-ranked remediation plan, ordered by exposure rather than by ease.
2. Days 15 to 35: defineOperating model with named owners and stewards, classification scheme, retention rules and access standards, agreed with legal and the business, not drafted in isolation.
3. Days 35 to 70: implementPurview scanning and catalogue populated, labels published and applied, access rebuilt onto groups, lineage switched on, suppression implemented in measures.
4. Days 70 to 90: evidenceAccess evidence reporting, audit pack generation, steward training, and the first governance review run with your team rather than for them.

That sequence works because each stage produces something usable on its own. If the programme stops after the assessment, you still hold a risk-ranked plan an auditor would accept. Book a technical review if you want that assessment for a Mons organisation.

We work across Belgium and deliver into neighbouring markets regularly. Nearby pages worth reading if your group has sites elsewhere: Namur, Wavre, Brussels, Liège, Ghent and Charleroi.

Frequently asked questions