PIM Data-Readiness Assessment
Evaluate your organization across 9 core data dimensions to identify preparation gaps before implementing or migrating a PIM.
1. Product-Data Strategy
1. Do you have clear business goals for the PIM implementation?
2. Is there an agreed organizational definition of a product record?
3. Are PIM success metrics and time-to-market targets defined?
4. Are key cross-functional stakeholders (IT, E-Commerce, Catalog Ops) aligned?
2. Source Systems & Catalog Feeds
5. Have all product-data sources (ERP, legacy DBs, vendor files) been inventoried?
6. Do you know which system is authoritative for each specific attribute?
7. Are supplier PDFs, datasheets, and raw spreadsheets included in the scope?
8. Are internal and external source data owners identified?
3. Product Model & Hierarchy
9. Is the product, SKU, and variant relationship model documented?
10. Are parent-child inheritance rules defined?
11. Are bundles, accessories, or compatibility relationships modeled?
12. Are family-level attributes cleanly separated from SKU-level attributes?
4. Master Taxonomy
13. Is your internal master product taxonomy approved and finalized?
14. Are category-specific mandatory attributes defined per category node?
15. Are supplier-specific category names mapped to internal categories?
16. Are obsolete or duplicate categories identified and cleaned?
5. Attribute Governance
17. Is there a canonical attribute dictionary with standard keys?
18. Are data types and measurement units explicitly defined?
19. Are controlled value dropdown lists available for key fields?
20. Are mandatory vs optional field rules documented per product type?
6. Data Quality & Cleanliness
21. Do you know your current catalog completeness rate?
22. Have duplicate SKUs and MPNs been identified across legacy databases?
23. Are numeric range validation rules established?
24. Can critical specification fields be traced to original source evidence?
7. Migration & Intake Workflows
25. Has a representative sample catalog dataset been tested for ingestion?
26. Are automated supplier data onboarding rules documented?
27. Is there a clear migration plan for legacy unstructured product data?
28. Are import payload reconciliation procedures defined?
8. Governance & Ownership
29. Are data stewards assigned for each product family?
30. Are approval roles and pre-publishing gates defined?
31. Are attribute change logs and audit histories recorded?
32. Is there an ongoing data-quality review process?
9. Integration & Channels
33. Are target integrations (ERP, E-Commerce, DAM) mapped?
34. Are downstream channel requirements (Shopify, Amazon, Dealers) understood?
35. Are API, file format, and webhook requirements documented?
36. Are post-import validation checks established?