Question

Your Power BI report is slow when switching slicer values, and your DAX measures are using FILTER extensively. What steps can you take to improve performance?
Users are experiencing performance issues when selecting different slicer values in your Power BI report. The DAX measures rely heavily on the FILTER function, which may be causing inefficiencies. What are the best optimization techniques, such as using SUMMARIZE, optimizing row context, or leveraging variables, to improve slicer responsiveness and overall report performance?

Answer 1

Fix Slicer Performance in Power BI Using Extensive FILTERs:

Swap FILTER with Optimized Functions: Apply KEEPFILTERS, ALLSELECTED, or SUMMARIZE instead of FILTER(ALL(Table), condition) whenever it is applicable to remove row-by-row evaluation on the whole table.

Use Variables (VAR)-Calculated measures that are saved using a variable will avoid executing the calculations again in that measure and improve execution speed.

Optimize Row Context- Any use of FILTER inside the iterators, such as SUMX(), should be avoided. Pre-aggregate data in Power Query or create an indexed lookup table.