Loading...
Your comprehensive guide to understanding e-commerce and product information management terminology.
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 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.
A product data transformation pipeline is a series of automated steps to convert raw product data into a structured format for various channels and uses.
Product data transformation rules are predefined instructions that modify or format product data to meet specific requirements of different e-commerce channels or systems.
Product data versioning is the practice of tracking and managing changes to product information over time, allowing for historical records, rollbacks, and clear accountability.