Which best practices should be followed to maintain app performance in Qlik Sense?

Minimizing data model size is a critical practice for maintaining app performance in Qlik Sense. A smaller data model generally leads to faster load times and improved query performance. When the data model is streamlined, it reduces the amount of memory required to load the application and enhances the responsiveness when users interact with the visualizations. Managing the size of the data model involves techniques such as removing unnecessary fields, using efficient data types, and leveraging data compression features. This not only improves the overall performance of the application but also ensures that users have a smoother experience when accessing and analyzing data.

Maintaining a balance in the data model is key; it should contain only the relevant data that is necessary for the analysis. In contrast, utilizing multiple data sources, creating an excess number of visualizations, or overloading the server could lead to increased complexity and performance issues, ultimately detracting from the user experience. Therefore, focusing on maintaining a minimal and efficient data model is a fundamental best practice in Qlik Sense app performance management.