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Product Data Migration

Data management and qualityAdvanced Level

Product data migration is moving product information, such as SKUs, attributes, prices, categories and images, from old systems or spreadsheets into a new PIM or ecommerce platform.

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What is Product Data Migration?

Product data migration is the process of moving product information from one system to another, for example from spreadsheets, an ERP or an old webshop into a PIM system or a new ecommerce platform. It covers SKUs, titles, descriptions, attributes, variants, categories, prices and image links. A migration has four steps: extract the data, clean it, map old fields to the new structure, and load and check it. It differs from a regular product import, which adds or updates products in a system that already has a structure. In a migration you design that structure first. For a step-by-step plan, read the catalog migration guide.

Why Product Data Migration matters for e-commerce

Your webshop, marketplaces and feeds all read from the product data you migrate. Errors that come along, such as wrong prices, broken image links or variants that lost their parent, show up on live product pages and in rejected feed items. A migration is also the best moment to fix structure. Cleaning duplicates, agreeing on attribute names and units, and setting up categories once makes every later import, translation and channel export simpler. Teams that copy messy data one to one carry the same problems into the new system.

Examples of Product Data Migration

  • 1Source: Supplier spreadsheets, Target: PIM system, Main task: merge columns into one attribute set and remove duplicate SKUs
  • 2Source: Magento 1 store, Target: Shopify, Main task: turn configurable products into Shopify variants
  • 3Source: ERP, Target: PIM system, Main task: keep SKU, price and stock in the ERP and move marketing content to the PIM
  • 4Source: Old PIM, Target: New PIM, Main task: map attribute groups, product families and translated fields
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How WISEPIM Helps

  • Product import: load CSV files, import from a product URL or pull data from a connected platform such as Shopify, WooCommerce or Magento 2.
  • Field mapping: match source columns to attributes, families and categories before the data lands.
  • Rollback Import: undo an import that went wrong and try again with a corrected file.
  • Quality Guard rules: find missing fields and invalid values right after the load, before you publish.

Common mistakes with Product Data Migration

  • Underestimating cleanup. Fixing units, duplicates and naming usually takes longer than the technical move.
  • Migrating before the target structure is designed, so attributes and families get invented on the fly.
  • Skipping a test batch. Load a small set first and check it on a real product page.
  • Not deciding who owns which data after the move, so old habits and spreadsheets come back.
  • Comparing totals only. Spot-check fields, variants and images against the source as well.

Tips for Product Data Migration

  • Start with an audit: list every data source, field and owner before you move anything.
  • Design the target model first: families, attribute groups, units and category tree.
  • Clean in the source or in a staging file, so you do not import known errors.
  • Migrate a pilot category, check it on the live site, then scale up.
  • Keep the old system read-only for a while, so you can compare.

Trends around Product Data Migration

  • AI-assisted field mapping that suggests which source column fits which target attribute.
  • Cleaning and enriching data during the migration instead of after go-live.
  • API-based migrations that pull directly from the old platform rather than from exported files.
  • Phased migrations per category or brand to limit risk.

Tools for Product Data Migration

  • WISEPIM import and Rollback Import
  • Akeneo
  • Salsify
  • Talend Data Integration
  • Spreadsheet tools for staging files

Related Terms

Access Control (PIM)Attribute Dependency ManagementAttribute InheritanceAttribute ManagementAttribute mappingAttribute Scoping

Also Known As

PIM data migrationPIM migrationproduct migrationcatalog migration

Frequently Asked Questions

Product data migration is moving product information, such as SKUs, attributes, prices and images, from old systems or spreadsheets into a new PIM or ecommerce platform. It includes cleaning the data and mapping it to the new structure.

Audit your sources, design the target families and attributes, clean the data, map the columns, then load a test batch. Check that batch on real product pages before you migrate the rest.

Yes, spreadsheets are the most common starting point. Merge them into one file per product type, agree on column names and units, and import that as CSV.

An import adds or updates products in a structure that already exists. A migration moves a whole catalog to a new system and usually includes designing that structure first.

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