I am analyzing a complex dataset with many dependencies. I have to check for compliance across several levels—if row A is 'X' and column B is 'Y' and date C is 'Z', then do this. It is becoming a nightmare to keep track of. Is there a better approach than just massive, nested formulas? Perhaps Power Query or helper columns? I need professional advice on handling this cleanly.
Complex multi-level data dependencies are best managed by moving conditional logic into external lookup tables or Power Query transformations rather than relying on nested formulas.
1 answer
Stop using nested formulas immediately as they are prone to logic errors and nearly impossible to audit. You should transition this logic into a modular lookup table or a Power Query transformation that isolates the conditional requirements into a separate reference matrix.
By maintaining a clean mapping table, you can utilize simple XLOOKUP or INDEX/MATCH functions that reference your conditions, which keeps your core dataset lightweight and verifiable for audit purposes.
