April 2nd, 2026
As organizations scale their use of SAP Datasphere, maintaining visibility, governance, and operational efficiency becomes increasingly complex.
Native tooling provides a strong foundation — but gaps in documentation, lineage tracking, user visibility, and environment housekeeping quickly emerge.
In this session, we introduce a purpose-built management application designed to give data teams full operational control over their SAP Datasphere landscape.
Built as a software-as-a-service solution, this application extends beyond standard capabilities — enabling deeper insight, better governance, and more efficient environment management.
Join us for a live walkthrough of the application in action and see how teams are reducing risk, eliminating inefficiencies, and bringing structure to rapidly growing Datasphere environments.
What You’ll Learn
Column-Level Lineage & Impact Analysis
- Trace data flows down to the column level
- Understand dependencies across Views, Data Flows, Transformation Flows, and Analytical Models
- Assess downstream impact before making changes
Semantic Export & Update
- Bulk review semantic definitions
- Modify and manage metadata across your environment
- Improve consistency and governance
Automated Documentation
- Generate up-to-date documentation automatically
- Eliminate reliance on tribal knowledge
- Improve onboarding and cross-team collaboration
User Management Visibility
- Gain insight into user roles and access
- Improve governance and security alignment
Unused Item Detection
- Identify dormant or orphaned objects
- Reduce unnecessary capacity usage
- Improve overall system efficiency
Who Should Attend
- SAP Datasphere administrators
- Data engineers & modelers
- Analytics architects
- Governance & data platform leads
If your Datasphere environment is growing — or already difficult to manage — this session will provide immediate value.
👉 Register now to secure your seat.
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Originally Aired: April 2nd, 2026, 11AM CST
Duration: 45 Min
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