Your data rules kept current: a live catalogue with owners, access reviews, quality scorecards, GDPR records and costs tied to teams.
Problem
A governance document is accurate on the day it is signed and decaying by the end of the month. New sources land, new teams start building, and the data product register becomes a list of things that used to be true. Meanwhile the platform bill grows with nobody able to say which domain caused it.
Approach
The same content as your governance model, enforced on the platform. Every data set catalogued, classified on arrival, accessible only through policy, and audited after. It sits on top of Managed Data Foundation: the platform service runs the infrastructure, this one governs what you put on it.
Data sets, owners, glossary and the data product register curated. A monthly posture report and alerts for unowned data.
Access reviews operated, classification findings triaged, quality scorecards, and a quarterly governance forum.
Personal-data map, access evidence and retention compliance: the GDPR evidence pack, produced continuously.
Compute and storage spend attributed per domain and data product. Budgets, anomaly alerts, capacity right-sizing and monthly showback.
What It Costs
Onboarding comes with the landing zone and is folded into the monthly fee on a 12-month term: catalog populated from your register, glossary seeded with your critical data elements, classification scans baselined, access reviews wired to your change process, scorecards for your top three data products, audit routed into your SIEM, and FinOps baselined so the first report has real numbers in it.
From €500
Per customer, regardless of how many platforms your data lives on.
None
Nobody counts tables and nobody argues at renewal. Tool licences pass through on top.
2
Included in every tier.
The Bridge To AI
Every AI conversation eventually arrives at one question: can the agent see our data, and should it? With Managed Data Governance you already have the answer. Certified data products are published to agents as MCP tools, scoped by the same access policy as your people.
One place that says what a data set is, who owns it and what it means.
Personal and sensitive data found and labelled on arrival.
Tag-based, reviewed on a cycle, with evidence of every decision.
The same policy for humans and agents, so AI doesn't need a second set of rules.
FAQ
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Your key data checked every day: fresh before the report opens, correct after every refresh, and rolled back when a bad load gets through.
AI in production, under control. Three services: AI Governance sets the rules, Managed AI keeps the platform safe and in budget, and Managed Agents runs your agents in production.
We run your data platform: capacity sized before month end, access kept right, problems fixed.
Let's discuss how Cloud2's Managed Data Governance service can help you achieve your goals.