E-commerce Dictionary

Product data ownership defines which individual or department is responsible for the accuracy, completeness, and maintenance of specific product data sets.

A product data ownership policy is a formal document outlining which individuals or departments are responsible for the accuracy, completeness, and maintenance of specific product data.

Product data quality refers to the accuracy, completeness, consistency, and timeliness of product information. High quality data is crucial for e-commerce success.

Product data quality gates are checkpoints within a product information workflow where data is automatically or manually validated against predefined standards before progressing to the next stage or channel.

Product Data Quality Metrics are quantifiable measures used to assess the accuracy, completeness, consistency, relevance, and timeliness of product information within a system.

The formal blueprint defining the structure, types, and relationships of all product data elements within a PIM or specific system, ensuring consistency.

Product data security involves measures and policies to protect sensitive product information from unauthorized access, modification, disclosure, or destruction.

Product data sourcing is the process of identifying, collecting, and integrating product information from various internal and external sources into a PIM system.

Product data standardization involves applying consistent rules and formats to product information, ensuring uniformity and comparability across all channels.

A Product Data Stewardship Program is a formal initiative establishing roles, responsibilities, and processes for managing product data quality and governance.

The art and science of transforming raw product data into compelling narratives that resonate with customers and drive engagement and purchasing decisions.

Product data syndication automation is the process of automatically distributing product information to various sales channels and platforms.