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Data Cleansing & Normalization
Product Data Cleansing & Normalization for Consistency
Data cleansing and normalization is the process of standardizing inconsistent vendor terminology into a single, uniform format across your entire product catalog. Inconsistent data breaks parametric filtering and confuses search algorithms; we scrub, de-duplicate, and format your data to ensure flawless operational performance across every digital touchpoint.
Standardization for Algorithmic Performance
Why is data normalization necessary? When vendors submit data using varying formats — “4 GB,” “4GB,” or “4 gigabytes” — faceted search filters break and schema validation fails. Normalization maps all variations to a single, strict format, ensuring shoppers can filter and compare products without friction. How does dirty data impact operations? Unclean data leads to duplicate SKUs, crawl budget waste, inaccurate inventory reporting, and rejected product listings on major retail media networks like Amazon or Walmart Connect. What does the cleansing process involve? We validate incoming product data against your established governance rules, removing redundant content, de-duplicating records, and translating or localizing data for global markets to ensure compliance with country-specific legislation.
Data Cleansing
Interested in learning more about what our Data Cleansing service can do for your eCommerce business? Reach out to request a quote and speak to a member of our team.
This Service Includes:
Our Data Cleansing Service Includes:
- Data standardization based on brand guidelines or industry standards
- Data normalization by value mapping
- Data matching and de-duplication
- Localization and translation of data if/as required
Key Deliverable:
Key Deliverable:
- A set of values that are consistent from product to product