You have a Microsoft Power Bl report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com. The report uses an imported dataset that…

Replacing default visuals with AppSource visuals is unlikely to improve performance and may even degrade it, as AppSource visuals can sometimes be more resource-intensive than native visuals.

While optimizing DAX measures is important, changing measures to use iterator functions (e.g., SUMX) is a specific optimization technique that might not be universally applicable or the primary cause of broad slow loading across all visuals; it depends on the specific measure logic.

Removing unused columns from tables in the data model significantly reduces the overall size of the dataset, which directly translates to faster report loading, quicker visual rendering, and improved interactivity, particularly for reports with large fact tables and high row counts. A smaller data model consumes less memory and allows for more efficient query processing.

Increasing the number of times the dataset is refreshed will not improve report loading or interaction performance; it only means the data will be more current but does not address the underlying performance issue of the report itself.