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Performance issues can come from model complexity, heavy boards, wide dimensions, or slow upstream data refreshes.

Common pressure points

  • very large or heavily dimensioned models
  • formulas with too much repeated logic
  • boards with too many visuals or broad filters
  • source data that refreshes slowly or inconsistently

Improve performance by simplifying first

Before you add workarounds, check whether the model, board, or database can be made smaller, cleaner, or more focused.