1.Prioritizing Product Catalog Deduplication
Waterfall Chart & Table · 2026
A product data manager preparing a global product catalog for ERP onboarding used a waterfall chart to visualize structural bloat. The analysis revealed that out of 44.9K raw catalog rows, 42.1K were duplicates removed, leaving 2.8K true unique variants, meaning 16.3 raw rows collapsed into each surviving variant. A prioritized cleanup plan table identified the 93.9% duplicate rate as the P1 blocker, while missing "Best For" and "Subcategory" attributes were P2 and P3 blockers driving 98.0% of attribute gaps. This prioritization mirrors abc product analysis by focusing effort on the most critical data blockers.
What it shows:
How to rank data cleanup tasks by their impact on catalog integrity.




