SAC Analytics vs SAC Planning: 8 key differences to choose

SAP Analytics Cloud is sold as a single product, but it contains two fundamentally different capabilities that are often confused: SAC Analytics (the business intelligence layer) and SAC Planning (the planning and write-back layer). The confusion matters because the two have different licensing, different model types, different data flows, and different use cases. Getting this wrong at the start of a project means building the wrong thing — and rebuilding it later is expensive.

SAC Analytics: reading and exploring data

SAC Analytics is SAP's cloud BI platform. You connect it to data sources — S/4HANA, BW, Datasphere, files, third-party systems — and build Stories (dashboards and reports) that read, visualize and explore that data. Calculations run on the data as it is; you cannot write values back to the source. This is the right tool for operational reporting, management dashboards, ad-hoc analysis, and anything where the goal is to understand what happened or what is happening. An analytics model is essentially a semantic layer on top of existing data.

SAC Planning: writing back and modelling scenarios

SAC Planning adds a write-back engine to the analytics layer. A planning model stores data in SAC itself (not just reading it from a source), lets users enter and edit values, supports private and public versions, and can push approved data back to S/4HANA. This is the right tool for budgeting, forecasting, headcount planning, and any process where humans need to enter, review and approve numbers. The planning model is the database; SAC is both the front-end and the calculation engine. A planning Story looks identical to an analytics Story from the user's perspective — the difference is entirely in the model type underneath.

The critical differences in practice

Three differences decide which you need. First, write-back: if users need to enter numbers, you need Planning. Analytics is read-only. Second, versions: the Version dimension (Actual vs Budget vs Forecast) is a Planning concept — it requires a planning model. An analytics model can show actuals from multiple periods, but it cannot hold a budget alongside them in the same model unless it reads from a planning model or a pre-built structure in the source system. Third, licensing: SAC Planning requires a separate (and more expensive) planning user licence on top of the base analytics licence. If your project scope is read-only reporting, you do not need planning licences.

Can you use both together?

Yes — and the combination is common. A typical pattern is: SAC Planning holds the budget and forecast (written by finance planners), SAC Analytics reads from the planning model and from the ERP, and Stories blend actuals (from S/4HANA) with plan (from the planning model) in a single dashboard. The planning model is the source of truth for the forward-looking numbers; the ERP is the source of truth for actuals. This architecture separates the concerns cleanly and avoids the error of trying to store plan data in a system designed only for actuals.

Which do you need?

If your project involves any of these, you need SAC Planning: annual budgeting, rolling forecasts, headcount planning, driver-based cost modelling, scenario comparison, or pushing approved figures back to S/4HANA. If your project is purely reporting and analysis — dashboards, variance reporting, trend analysis, ad-hoc exploration — SAC Analytics is sufficient and less expensive to licence. When in doubt, plan for Planning: retrofitting write-back capability into an analytics model requires a rebuild, whereas a planning model can serve both purposes.

Where to start

Our templates cover both: the annual budget and rolling forecast templates are planning models (write-back, versions, driver-based); the industry dashboards in the catalog work as analytics models. Not sure which type fits your use case? Let the assistant recommend one.