Solution 03
Expand Data Access Without Losing Control.
Give authorized users access to trusted datasets, shared definitions, reusable models, and analytical tools within a governed environment.

Decision context
Bring the right context to the conversation.
Wider analytics access is valuable when it stays connected to governed definitions and controls. Governed Self-Service Analytics lets business users explore trusted data while centralized definitions, access, and governance remain in place.
Common challenges
Move beyond fragmented reporting and incomplete context.
- 01
Self-service can drift from governed definitions and controls
- 02
Business users struggle to find relevant, trusted data
- 03
Similar measures are represented differently by each team
Typical data sources
Information that can shape the decision view.
- Approved source systems and transformation processes
- Governed datasets and semantic models
- Catalog metadata and ownership context
Daviz capabilities involved
Connected capabilities, not isolated views.
What teams can work with
Decision-ready outputs for the people closest to the work.
Typical outputs
- Analysis-ready datasets
- Reusable semantic models
- Governed self-service dashboards
Primary user groups
- Business analysts
- Functional and operational teams
- Data and analytics leaders
Implementation approach
Build around a practical decision journey.
Every implementation should reflect the existing information environment and the people who need to use it.
- 01
Trusted datasets
Prepare analysis-ready datasets from approved sources and transformation processes.
- 02
Shared semantic models
Reuse consistent business concepts across teams and analytical outputs.
- 03
Controlled access
Apply permissions and policies according to roles, groups, and data sensitivity.
Questions
Explore the fit for your organization.
These answers explain the positioning of this solution without replacing a conversation about your needs.
Does self-service reduce governance?+
No. Access expands while shared definitions, permissions, and governance remain centralized.
How do users find the right data?+
Catalog metadata, ownership, and context help users discover relevant, trusted assets.
Can teams reuse existing models?+
Reusable semantic models let teams work from consistent business concepts instead of rebuilding logic.