Data Governance
Make data reliable for better decisions with automated governance that protects privacy, ensures quality, and enables self-service analytics.
Make data reliable for better decisions with automated governance that protects privacy, ensures quality, and enables self-service analytics.
Problem
Teams don't trust the data. Reports show different numbers. Privacy requirements are unclear. Finding the right dataset takes hours. Poor governance turns data into a liability.
Approach
We extend our GaaS framework to data assets, implementing automated governance that enables innovation while protecting privacy and ensuring compliance.
Automated discovery and classification of data assets with business glossary and lineage tracking.
Fine-grained permissions ensuring the right people access the right data with full audit trails.
Automated validation rules and quality scorecards alerting on data issues before they impact decisions.
Policy enforcement for GDPR, data residency, and retention requirements built into data platforms.
Field Notes
Building trust in data through automated governance.
AI
6 min read
Four questions to determine if your AI system faces mandatory EU AI Act compliance by August 2026. Covers the eight high-risk categories, obligations, and practical next steps.
Data
6 min read
Building a data platform on Microsoft Fabric should be straightforward. So why does it still take months? Because the hard part was never the technology.
Cloud
5 min read
In the wild wild west of cloud computing, steering your organization through the stormy skies of cloud governance and security is more than just tech talk – it's about making bold moves and smart d...
Let's discuss how Cloud2's Data Governance service can help you achieve your goals.
