I am building a Software Development tracking dashboard. I’m torn between using Pivot Tables and the new Dynamic Array functions like FILTER, UNIQUE, and SORT. Which approach is more efficient for a dashboard that needs to update instantly when a developer changes a status?
3 answers
Dynamic Arrays are generally better for "real-time" updates because they recalculate instantly when the source data changes. Pivot Tables require a manual 'Refresh' or a VBA trigger to update. For a developer dashboard, using =SORT(FILTER(Data, Status="In Progress")) will automatically expand and contract as tasks move through the pipeline. However, Pivot Tables are still superior if you need to group dates or handle massive amounts of data with complex summarizations. For a sleek, modern UI in Excel, Dynamic Arrays provide a much smoother user experience without the clunky Pivot headers.
If I use Dynamic Arrays for my dashboard, will the file become slow if I have over 20 different filtered views running simultaneously on one sheet?
Dynamic Arrays are great for "spilling" data. Just make sure there are no empty cells in the way, or you will get that annoying #SPILL! error.
That #SPILL! error is the bane of my existence lately, Mark! But it’s a small price to pay for the flexibility those formulas offer.
Laura, it depends on the size of your 'Data' range. If you are filtering 5,000 rows, you won't notice a thing. If it's 50,000, Excel might stutter during calculation. To optimize this, make sure your source data is in an 'Excel Table' (Ctrl+T). This allows the Dynamic Arrays to reference structured ranges, which is much more efficient than referencing entire columns like A:A. It keeps the calculation engine focused only on the active rows.