Best Practices
Best Practices
SAC Best Practices
Best practices for SAC are currently summarized in an SAP Community blog post.
Note:
The content in the SAP Community Blog Post refers to the first version of our Template.
We will rollout an updated version (based on SAC Enhancements) of the template in September 2026.
The content here will be updated and expanded accordingly.
Performance Considerations
The performance of the dashboard has a big impact on user experience. Poor performance results in poor user experience.
When designing and building the dashboard, consider the factors that can affect performance. In general, performance gets poorer with:
- More data
- More complexity
- More data that needs to be loaded simultaneously
Considering performance in your design will result in trade-offs. For instance, linked analyses and filters will impact the performance, yet are very useful and powerful features.
You’ll need to evaluate how big the performance impact is and whether your users will be more appreciative of the power than annoyed at the wait.
Reduce the amount of data used.
- If specific data is not required in the dashboard, consider not showing it and not including the data in the model.
Do aggregations early, before calculations.
- Aggregating data before it is loaded into the SAC model results in fewer rows in the model, which means SAC will require less computing time to process those rows when creating the charts.
Use the most high-performing model for your requirements.
- Typically, an acquired data model is faster than live connections. If you don’t need live data, consider an acquired data model.
- Typically, an analytical model is faster than a planning model. If you don’t need a planning model, consider an analytical model.
Reduce the number of expensive elements that are shown together.
- Reduce the number of charts on one page.
- Reduce the number of high-resolution images.
Reduce the number of elements that require processing.
- Consider how many filters and what type of filters are needed, as they can impact performance.
- Reduce the number of widgets that are linked by the linked analysis feature, as that can impact the performance.
Consider the number of expensive widgets that are shown on one story page
A detailed guide on widget weights can be found on the SAP Analytics Cloud Help:
https://help.sap.com/docs/SAP_ANALYTICS_CLOUD/00f68c2e08b941f081002fd3691d86a7/fbe339efda1241b5a3f46cf17f54cdff.html?locale=en-US&version=LATEST
Further Performance related Resources:
https://learning.sap.com/learning-journeys/managing-performance-in-sap-analytics-cloud