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Data Cleansing
Product Data Cleansing & Normalization for Consistency
A major component in effective retail taxonomy is a product information database with clean and unified product attributes and values. When product data is received from a range of vendors with varying terminology, that data is often inconsistent, which can lead to comparison issues, unreliable faceted search, and duplicate content on the site’s frontend.
What is Data Cleansing?
With data cleansing and normalization, all vendor data is analyzed for its quality and is standardized by cross-referencing terminology with brand guidelines to ensure the same value is named in a uniform way across the board. For example, electronics vendors may input a value as “4 GB,” “4GB,” “4 gb” or “4 gigabytes.” Standardization identifies the value format desired by the brand or defined by industry standards, and normalization maps all other values to match that format.
This data cleansing service includes data matching and de-duplication, often required when duplicate or redundant data is supplied by vendors. Our team validates product data, removing duplicate content that could lead to poor user experience due to redundant customer-facing product information.
In addition, our team has the ability to handle the localization and translation of product data for global markets. This can help you reach new customers, while meeting country-specific language requirements or 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