SAP Analytics Cloud (SAC) continues to evolve quickly, but not every update has the same impact. Some changes require immediate action, while others create new possibilities in planning, reporting, and analytics. For many organizations, the real question is which developments deserve attention first. Our experts share 4 new developments that are most relevant for your SAC environment.
Migrating to SAC Optimized Story Experience is becoming unavoidable
One update comes with a clear deadline. By Q2 2026, the classic experience reaches end of life. This makes migration to SAC Optimized Story Experience a practical priority for organizations that still rely on SAC Classic Stories.
SAP provides conversion tools, but migration is not always one-to-one. Some stories move smoothly into SAC Optimized Story Experience, while others need redesign because certain functionality no longer behaves the same way in the optimized environment.
Seamless Planning connects planning directly to Datasphere
Seamless Planning is one of the more strategic changes in the SAP landscape. Instead of storing planning data inside SAC, the setup connects planning directly to Datasphere. Actual data can be consumed live, while planning inputs are written back directly into the same environment. That reduces duplication and brings planning closer to the broader enterprise data flow.
In practice, this requires a carefully designed architecture. For example, security still needs alignment across SAC and Datasphere, and master data handling is not fully seamless yet. That makes implementing Seamless Planning broader than a pure SAC exercise.
My Metrics adds a practical KPI layer
SAP also introduced My Metrics, which adds a practical new layer on top of reporting. Instead of opening multiple stories to check important KPIs, users can select metrics from optimized stories, group them into lists, and monitor them in one place.
Metrics can also be shared and followed through subscriptions, making it easier to track changes over time without switching between multiple stories. This works especially well when multiple teams need visibility on the same business indicators without repeatedly navigating through dashboards.
AI-assisted functionality becomes more visible in SAC workflows
AI-assisted features inside SAC are expanding and becoming more practical in daily work. Users can now generate formulas, summarize comments, support data action scripting, and interact with data through Just Ask, enhanced by Joule.
The main benefit is speed. The quality of the results can be high but still depends on how well the underlying model is structured. Clear business naming, clean dimensions, and strong model design remain essential for AI-assisted features to deliver reliable answers.
What makes these developments interesting is that they all point in the same direction: SAC is becoming more integrated, more structured, and more dependent on strong design choices underneath.
Some topics require action now. Others are worth understanding because they affect the impact of your design choices, today and tomorrow.
In our webinar, we will explore these 4 developments in more detail. Discover what they mean in practice, and where they currently create the most value for your SAC environment.