E-commerce Dictionary

Security measures within a PIM system that regulate which users or roles can view, edit, or publish specific product data.

Attribute dependency management defines and controls conditional relationships between [product attributes](/ecommerce-dictionary/product-attribute), affecting display or available values.

Attribute inheritance is a PIM feature where [product attributes](/ecommerce-dictionary/product-attribute) are automatically passed down from parent categories or master products to child products or [variants](/ecommerce-dictionary/product-variant).

The creation, organization, and [governance](/ecommerce-dictionary/data-governance) of [product attributes](/ecommerce-dictionary/product-attribute) that define product characteristics and determine how products are described, found, and filtered.

Attribute scoping defines the context, such as a specific [channel](/ecommerce-dictionary/sales-channel) or locale, where a [product attribute value](/ecommerce-dictionary/product-attribute-value) is valid and applicable.

An [attribute](/ecommerce-dictionary/product-attribute) set is a predefined group of product attributes that define a specific type of product or category, ensuring consistent data entry.

Attribute value normalization is the process of [standardizing the values](/guides/data-quality/attribute-standardization) within [product attributes](/ecommerce-dictionary/product-attribute) to ensure consistency, eliminate variations, and improve [data quality](/ecommerce-dictionary/data-quality).

Attribute mapping is the process of aligning [product attributes](/ecommerce-dictionary/product-attribute) from a source system with the required attributes of a target channel or system, ensuring data consistency and compatibility.

The capability to simultaneously modify [attributes](/ecommerce-dictionary/product-attribute) across multiple products, saving time and ensuring [consistency](/ecommerce-dictionary/data-quality).

[Completeness](/guides/data-quality/data-completeness) refers to the extent to which all required and recommended [product attributes](/ecommerce-dictionary/product-attribute), [media, and translations](/ecommerce-dictionary/product-content) are present and filled out for a product across all intended [sales channels](/ecommerce-dictionary/sales-channel).

[Product data](/ecommerce-dictionary/product-content) required to meet legal, regulatory, or industry standards, ensuring products are permissible for sale in specific markets.

Data cleansing is the process of detecting and correcting or removing corrupt, inaccurate, or irrelevant records from a dataset.