Predict future outcomes with SAP Analytics Cloud

SAC SAP Analytics Cloud

With SAP Analytics Cloud, planners can capitalize on self-service analytics and reporting. This will allow the what-if modeling and the full range of tasks that contribute to planning. These include profit-and-loss analysis; sales volume analysis; cost allocation; and expense, promotion, and workforce planning. At the same time, the solution relieves your IT department of many legacy reporting chores, and leaves the routine tasks of software administration and updates to experts in secure, certified SAP data centers.

With SAC, you can also perform real-time analysis using advanced analytics, visualizations, and intuitive charts.



With SAP Analytics Cloud, planners have immediate access to several innovative features that capitalize on emerging techniques for predictive planning. Using the “smart predict” feature, planners can perform predictive analysis to automate forecasts at any level of their plans. ML–driven insights across any dimension help remove the guesswork, while self-service allows everyone to access results based on built-in financial intelligence. Planners can now build trust in their predictions with immediate data-driven visualizations and the prediction accuracy scores available in the application.

SAC SAP Analytics Cloud

The solution also includes features called “smart discovery” and “smart insights”. Both of which help planners understand business drivers and make better decisions more quickly. Smart discovery helps planners visualize contributors to key performance indicators (KPIs) and identify outliers. As they examine trade-offs  among KPIs, planners can use smart discovery to help answer the question “What if?” For example, planners can list the marketing activities that contribute to revenue and perform a simulation to determine the effect that changing one of those activities could have on the other activities and on revenue. The  next figure shows the use of smart discovery to analyze patterns across the data.

SAC SAP Analytics Cloud

Using smart insights similarly reveals the major contributors behind intricate aspects of business data, often answering the question “Why?”. For example, once planners find the contributors to a selected KPI with smart discovery, they can dive deeper into an unexpected contributor or find the root cause of a variance.

In financial planning, the ML technologies behind smart discovery and smart insights help finance professionals elicit actionable information from previously undetected data. They also facilitate predictive accounting by capitalizing on information that is already in the accounting system but not necessarily relevant to generally accepted accounting principles, such as details on purchase order entry, inventory movement, and sales order entry. Embedded algorithms automatically translate these transactions into a language that decision-makers can use and values that are suitable for use in financial statements and predictive accounting functions.


Making Verbal Queries

With this, gaining additional insights through ad hoc planning questions is as easy as having a conversation with a colleague. You can discover the top drivers of performance without a lengthy search through collated reports, automatically predicting future values and making changes to improve them.

SAC SAP Analytics Cloud


Scenario Planning

Planners throughout the enterprise need to simulate potential outcomes. This will enable them to examine trade-offs among business drivers and build more accurate forecasts. SAC reimagines how they visualize the financial impact of key drivers and assumptions with a value-driver tree. On the value-driver tree, planners can visually augment existing data nodes with specific nodes such as year-on-year growth, for example.

Entering data at any level and for automatic aggregation or disaggregation. Using the valuedriver tree on SAP Digital Boardroom helps top executives collaborate to simplify and strengthen strategic forecasting. Private versioning provides each user with a personal sandbox in which to model scenarios and perform what-if analysis before publishing. It will enable stakeholders simulate future outcomes directly in the context of their financial plan.

SAC SAP Analytics Cloud

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