Optimize DAX Code

Hi Lucia,

1. Minimize Unnecessary Calculations:

   • Reduce the complexity where possible, like avoiding repeated calculations.
   • If any of the variables are constant across your data and don't change over time, calculate them separately, and then reference them.

2. Reduce the Amount of Data Being Processed:

   • If there are any filters that can be applied before calculating (i.e., in the CALCULATETABLE function), you can reduce the amount of data that needs to be processed.
   • Consider aggregating data at a higher level if detail isn't needed.

3. Consider Using Aggregated Tables:

   • If you're performing the same calculations repeatedly over different periods, you might want to consider creating an aggregated table (e.g., using a summary table that's refreshed periodically or during data refresh). This can help shift some of the computational load from report-rendering time to data-refresh time.

4. Revise Calculations Where Possible:

   • You may be able to revise some of the calculations to be more efficient. For example, your logic with DISTINCTCOUNTNOBLANK and VALUES inside SELECTCOLUMNS seems complex and potentially redundant.
   • Some calculations might be done more efficiently using calculated columns in the Power BI data model rather than all in a single measure.