Which aspect should be analyzed first when addressing a performance issue in SAP Analytics Cloud?

When addressing a performance issue in SAP Analytics Cloud, analyzing data model complexity first is crucial because the structure and design of the data model can significantly influence performance. Complex data models, which may include numerous calculated measures, extensive hierarchies, or large volumes of data, can lead to slower query execution times and longer load times for reports.

By examining data model complexity, you can identify if there are inefficiencies or areas for optimization, such as simplifying calculations, aggregating data more effectively, or eliminating unnecessary dimensions. Optimizing the data model can lead to considerable improvements in performance, making it a logical starting point in troubleshooting performance issues.

Other aspects, such as user access levels, network latency, and browser cache settings, also play a role in overall performance, but they are typically secondary to the core data model issues. If the data model is inefficient, no amount of configuration in these other areas will fully resolve the performance problem. Thus, starting with the data model ensures that foundational performance issues are addressed first.