Data Governance & Permissions
Who may see and change what? Governance makes this traceable instead of arbitrary.
Without clear governance, access rights grow historically and become opaque, complicating audits and creating risk. Tools like Unity Catalog or Microsoft Purview let you document data lineage, ownership and access rules centrally, keeping it clear who can access what and why.
- Traceable access rights instead of historically grown permissions.
- Faster, lower-risk audit preparation.
- Less time spent on individual access approvals.
audit preparation time
faster access provisioning
to live governance model
excessive access rights
Calculated from the previous effort for manual access reviews and audit preparation.
- 01
Access rights assessment
We map existing roles, rights and ownership.
- 02
Governance model design
We define roles, data domains and approval processes.
- 03
Catalog & lineage setup
We document data lineage and classification in the catalog.
- 04
Access implementation
We implement role-based access controls technically.
- 05
Training & operations
We train owners and establish recurring reviews.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Access logs
Historical access data on data sources and reports.
Data catalog
Existing descriptions and classifications of datasets.
Organizational structure
Roles, teams and ownership within the company.
Compliance requirements
Regulatory requirements such as GDPR or industry rules.
Data lineage
Information on the origin and transformation of data.
Sensitive data fields
Tagging of personal or confidential data.
Data protection officers
Documented evidence for audits and inquiries.
IT security
Transparency into actual access rights.
Business unit leads
Clear ownership of data within their own domain.
Executive management
Reduced compliance and reputational risk.
Traceable access rights instead of historically grown permissions.
Faster, lower-risk audit preparation.
Less time spent on individual access approvals.
Better compliance with regulatory requirements.
Clear ownership for every dataset.
With a solid data foundation this use case gets faster, cheaper and far more stable.
A central platform enables consistent governance across all data.
Automated classification speeds up cataloging.
Existing role models can be implemented directly.
Central monitoring detects unusual access patterns.
Data modeling & semantic layer
Governance rules apply consistently across all semantic models.
Data quality & observability
Clear ownership makes resolving quality issues easier.
Data products & self-service
Self-service stays secure because access rights are clearly governed.
Lakehouse Architecture
A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.
Data Integration from ERP & MES
Automatically merge ERP and MES data instead of exporting and reconciling manually.
Streaming & Real-Time Data
Instead of daily batch runs, relevant metrics are available within seconds.