Normalize data: scenarios, risks, and trade-offs

Two teams pull the same revenue data. One normalizes it to compare growth rates across regions. The other reports raw totals to show absolute contribution. Both are correct, but they tell different stories. When they land on the same executive dashboard, the result is confusion.That tension sits at the center of every normalization decision.