Boosting Performance in SAP Analytics Cloud: Simple and Efficient Strategies

Update: SAP has renamed several offerings since this post was written. RISE with SAP is now SAP Cloud ERP, Private; GROW with SAP is now SAP Cloud ERP; and SAP Business Technology Platform (BTP) is now the SAP Business AI Platform (BAIP).

To achieve optimal performance in SAP Analytics Cloud, it is essential to implement a combination of design improvements, backend enhancements, and strategic system configurations. By following SAC Best Practices, businesses can improve dashboard responsiveness, reduce loading times, and enhance overall user experience: below are simple and efficient strategies to optimize SAP Analytics Cloud.

Design and Widget Optimization

Split Large Dashboards

Large dashboards with excessive widgets can slow down performance. Breaking them into smaller, interconnected dashboards significantly improves responsiveness. Using separate applications simplifies scripting and reduces rendering overhead, making efficient analyticsachievable.

Limit Widgets per Page

Restricting data-heavy widgets on a single page optimizes performance. As a guideline:

• Assign a maximum weight of five units per page for charts and tables.
• Use charts instead of tables for aggregated data visualization to reduce the volume of transferred data.
• Implement Top N filters to limit the retrieval of high-cardinality dimensions.

Use Buttons for Controls

To minimize unnecessary data refreshes, delay data execution until users apply filters manually. This prevents excessive backend queries and improves dashboard efficiency.

Collapse Filters and Controls

Expanded filters trigger real-time member list updates, which can cause performance slowdowns. Keeping filters collapsed until required reduces processing strain.

Backend and Model Optimization

Optimize Data Models

Efficient data models contribute to SAP Analytics Cloud performance improvement. Businesses should:

• Use analytic models instead of planning models, as they load faster (6.7 sec vs. 7.9 sec).
• Leverage SAP Datasphere to simplify data preparation and integration.
• Minimize excessive exception aggregations and unbooked data calculations.

Strategic Filtering

Applying filters efficiently helps in managing the data load:

• Use global/story filters instead of page filters for consistency across dashboards.
• Implement query-level filters to reduce unnecessary data retrieval.

Enable Caching

Persistent query caching speeds up dashboard access by pre-fetching frequently used data, reducing backend load and ensuring efficient analytics.

System and Rendering Settings

Optimized View Mode

• Enable active viewport rendering to load only visible widgets.
• Use the Lite Viewer for end-users to cut client-side load by 75% by excluding designer tools.

Technical Configurations

• Activate High Performance Power Plan in system settings to resolve slow table scrolling.
• Re-save stories after SAP Analytics Cloud updates to apply backend improvements.

Best Practices for Planning

• Limit concurrent users during planning cycles and restrict data versions to essential subsets.
• Optimize data actions and avoid redundant calculations.
• Educate users on minimizing undo/redo operations, as excessive changes can slow performance.

Performance Monitoring

• Use SAC’s Performance Analysis Tool to pinpoint network, frontend, or backend.
• Engage SAP Enterprise Support for advanced backend optimizations, including HANA TPO checks and BW query tuning.

By applying these SAC Best Practices, businesses can ensure faster load times, seamless user interactions, and optimized dashboard performance in SAP Analytics Cloud.

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