Seamless Planning is SAP’s architectural approach that brings SAP Analytics Cloud and SAP Datasphere together into one connected setup. It reshapes how planning and data sit within the same landscape, rather than being handled in separate layers that require constant syncing.
Business users continue to work in SAC, building plans, adjusting forecasts, and running scenarios as they are used to. What changes is the foundation underneath. The data is no longer stored inside SAC models but is managed centrally in SAP Datasphere, which means every update becomes part of a shared data layer almost instantly.
This makes a noticeable difference in day-to-day planning. When a finance team revises sales projections, those changes are already available for reporting, cost analysis, and other dependent views without anyone having to step in and move data around. It removes the small delays and manual steps that usually slow teams down, especially during critical planning cycles.
Over time, this approach creates a more stable planning environment where teams are not reconciling different versions. It also supports a more scalable way of working, especially for organizations that are trying to bring planning, analytics, and operational data closer together.
Seamless Planning Architecture
Seamless Planning is built on a tight connection between SAP Analytics Cloud and SAP Datasphere, both running in the cloud and designed to function as one connected setup.
1. Planning Layer in SAC
The planning experience stays inside SAC, so teams continue working with models, dimensions, KPIs, and business logic in a way that already feels familiar. Data actions, simulations, and planning calendars remain unchanged, which means there is no disruption in how users interact with the system.
2. Data Storage in SAP Datasphere
Once a Seamless Planning model is activated, the data does not sit inside SAC anymore. Instead, the system creates the required structures directly in SAP Datasphere. This includes fact tables that hold planning data like sales, budgets, or quantities, along with dimension tables for time, versions, cost centers, and accounts. These tables are not locked away; they can be used further for reporting, SQL queries, or extended modelling.
Learn More – Break Down Data Silos with SAP Datasphere and Databricks
3. Live Connection Between SAC and Datasphere
The connection between both layers stays active at all times. Any update made in SAC is written directly into Datasphere, and existing data in Datasphere can be used inside SAC without any manual effort. This removes the need for exports, uploads, or scheduled data syncs that usually slow things down.
4. Extending the Data Landscape
Datasphere allows additional data sources to be brought in without much friction. This includes systems like SAP S4HANA, BW, third-party platforms, or even flat files. Data can be shaped, aligned, and governed within the same environment, so planning is not limited to a narrow dataset.
5. Infrastructure Setup
For this to work smoothly, SAC and Datasphere need to be connected in a one-to-one setup within the same data centre. This ensures that the integration remains stable and data moves instantly without delays.
Key Benefits of Seamless Planning
Single Source of Data
Planning data sits in SAP Datasphere and is accessed directly in SAC. No duplicate datasets are floating around, which means teams don’t spend time reconciling numbers or chasing version mismatches.
Real Time Alignment Between Plan and Actuals
As soon as plans are updated, they are already aligned with actual data. This makes forecasting cycles more responsive and avoids delays that usually come with batch updates or manual syncs.
More Flexible Data Usage
Because the data layer is unified, teams can combine planning data with other sources more easily. It supports a mix of internal and external data without needing separate modelling efforts every time.
Stronger Processing Capabilities
Datasphere brings in SQL-based transformations, enrichment, and data preparation directly into the planning landscape. This extends what SAC can do without overloading the planning layer itself.
Built for What’s Coming Next
This setup supports broader planning approaches like cross-functional planning, predictive models, and integrations with platforms such as Databricks or BW environments. It creates a base that can grow instead of needing redesign later.
Use Cases
Financial Planning
Finance teams can work with budgets, forecasts, and actuals on the same data layer. This keeps everything aligned across departments without needing separate consolidation steps.
Sales and Operations Planning
Sales forecasts, supply chain inputs, and production plans can be connected more closely. It becomes easier to adjust plans when demand or supply conditions shift.
Hybrid Planning Scenarios
Some organizations combine SAC with other platforms like BW or Databricks to bring in predictive elements. This allows planning models to go beyond static inputs and include forward-looking signals.
Learn More – Building an Open Data Ecosystem with SAP Datasphere
Data Driven Planning Models
Existing data products, whether SAP-based or custom-built, can directly support planning models. This reduces the effort needed to prepare data separately before planning even begins.
Technical Capabilities
- Live Fact Data Handling
Plan and actual data can be accessed across models in real time, which keeps everything consistent without duplication. - Version Control Within Planning
Different versions of data can be managed inside the same structure, making it easier to compare scenarios or track changes. - Integrated Planning Actions
Data actions and planning processes can be triggered directly within SAC without needing external orchestration. - Use of Virtual Data
Some data can be referenced without physically storing it again, which helps reduce unnecessary storage and keeps models lighter. - Optimized User Experience
All of this still runs through SAC’s interface, so performance and usability remain intact for business users.
Current State and Roadmap of Seamless Planning
Seamless Planning has evolved quickly over the last few releases. What started as a controlled rollout is now available to a broader set of customers, especially those already using SAP HANA Cloud environments.
The core setup is stable enough today to support real planning scenarios, not just early experiments.
What’s Already in Place
At this stage, the fundamentals are working well and are already being used in live environments:
- Planning data created in SAC, including facts and dimensions, is stored directly in SAP Datasphere
- The same data can be used within Datasphere for reporting, modelling, or further processing
- Planning logic, models, and user interaction remain fully inside SAC
This setup already removes a lot of friction that teams usually deal with when planning, and data sits in separate systems.
What’s Evolving Next
SAP is continuing to tighten the connection between SAC and Datasphere, and a few key improvements are on the roadmap:
- Direct use of Datasphere data inside SAC planning models
- Reuse of dimensions across both environments
- Better integration between SAC planning actions and Datasphere task chains
- Cross-space data sharing and improved handling of hierarchies
- More flexibility in how data moves between the two layers
These changes are clearly moving towards making the two systems feel less like connected tools and more like a single planning environment.
Learn More – Live Connections in SAP Analytics Cloud: Key Benefits and Limitations
Why Stridely for Seamless Planning
Stridely brings hands-on experience across SAP Analytics Cloud, SAP Datasphere, and enterprise data platforms, helping organizations move beyond disconnected planning setups into something far more aligned and usable.
- Accelerate adoption with practical implementation approaches shaped by real project experience
- Reduce transition risks through phased rollouts and hybrid planning setups that don’t disrupt ongoing operations
- Improve planning efficiency with faster cycles, better visibility, and less dependency on manual data handling
Contact Stridely Solutions today to transform your planning foundation.
