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Your comprehensive guide to understanding e-commerce and product information management terminology.
Product attributes are specific characteristics or details that define a product, such as color, size, material, or technical specifications. They are crucial for product differentiation, search, and filtering in e-commerce.
A product content score is a metric that quantifies the completeness, quality, and adherence to standards of a product's content, often used to assess readiness for publication.
Product data accuracy refers to the correctness, precision, and truthfulness of all product information, ensuring it matches the actual product and its specifications.
Product data aggregation is the process of collecting product information from multiple disparate sources into a unified repository. This provides a comprehensive view of product data.
Product data attributes are specific pieces of information that describe a product's characteristics, such as size, color, material, price, or technical specifications.
A product data audit trail is a chronological record of all changes made to product information, showing who, what, when, and why changes occurred.
A product data compliance standard is a set of rules or guidelines that product information must follow to meet legal, industry, or regulatory requirements.
The Product Data Enrichment Process outlines the systematic steps involved in enhancing raw product data with additional attributes, descriptions, media, and marketing content. It ensures product information is complete, accurate, and appealing for various channels.
Product data enrichment rules are automated conditions and actions used to enhance product information with additional details, media, or formatting.
Product data enrichment services are external providers or tools that add, verify, or enhance product attributes and content beyond internal data sources.
Product Data Federation is a data management strategy that integrates product information from multiple, disparate sources into a unified virtual view without physically centralizing the data.
Product data governance establishes policies, processes, and responsibilities for managing the quality, security, and usage of product information.