Catalog migration
Do Not Migrate Bad Product Data into a New System
A platform migration changes where product information lives. It does not automatically improve the information itself.
If a legacy catalog contains inconsistent attributes, missing specifications and outdated structures, moving those records unchanged simply transfers the problem into a newer system.
ENRIVAQ positions enrichment and cleanup before migration so the target platform receives product data that is closer to the structure the business actually wants to manage.
- Identifier
- AC820825
- Attributes
- Limited source fields
- Technical data
- INCOMPLETE
- Category
- Legacy category
Target record
Kverneland AC820825 Fan Impeller- Canonical fields
- OEM / MPN · EAN · product type · compatibility · accepted technical fields
- Normalized units
- Canonical values; unresolved weight conflict excluded
- Target taxonomy
- Target taxonomy
- Review state
- PILOT GATE
LEGACY CATALOG → CLEANUP / NORMALIZE / ENRICH / MAP → PILOT GATE → TARGET CATALOG
Migration problem
Garbage in, garbage out
A new PIM or ecommerce platform can enforce better workflows, but only after the imported data has been mapped into a usable structure.
Migration is therefore a good moment to decide what the catalog should look like on the other side.
Skipping that step can make the new system inherit the same duplicate fields, inconsistent units and incomplete product records as the old one.
Audit current catalog
Create a migration baseline before transforming the data
The first step is to understand the source catalog. Review product categories, identifiers, attribute sets, missing fields, duplicate structures, data formats and current content.
The audit should also identify which parts of the catalog are representative enough for a pilot migration.
Product data cleanup →Normalize
Standardize the information that already exists
Before mapping into a new structure, normalize values that represent the same concept differently. This may include units, attribute names, capitalization, formats and controlled values.
The target format should come from the new catalog model rather than from arbitrary AI preferences.
Product data standardization →Enrich
Complete important information before it reaches the target system
Migration is an opportunity to improve records that have remained incomplete for years. Where reliable product information can be found, enrichment can add missing technical attributes, identifiers or content before the records are loaded.
Map taxonomy
Map products into the structure the new catalog will use
Legacy categories often reflect the history of the old system rather than the product logic desired in the new one.
Validate
Test the transformed record before full migration
Normalization, enrichment and category mapping can all introduce errors if rules are wrong. Validation checks whether transformed records match the target schema, whether required fields remain missing and whether technical values or mappings need review.
A representative pilot should be validated before scaling the migration.
Export to new system
Deliver data in the format required by the migration workflow
Once the transformed records are approved, they can be exported toward the target PIM, ERP-related flow or ecommerce platform through supported methods.
The exact import/export process depends on the systems involved and must reflect real integration capabilities.
Migration checklist
A practical product-data checklist before go-live
Use the migration project to confirm that product information is ready for the new environment.
Controlled next step
Use a migration sample to find data problems before go-live
Share a representative source export and the target catalog structure to assess the cleanup and enrichment work required before migration.