E-commerce Dictionary

The process of distributing product information from a central PIM system to multiple sales channels, marketplaces, and touchpoints.

A data syndication platform is a specialized tool that automates the distribution of product information to various external channels and partners.

Data transformation is the process of converting data from one format or structure into another, often necessary for data integration and syndication.

Data virtualization is a technology that integrates data from disparate sources into a single, virtual view without physically moving or copying the data.

Data distribution is the process of delivering product information to various sales, marketing, and operational channels. It ensures consistent, accurate, and up-to-date data across all customer touchpoints.

Data feed management involves collecting, optimizing, and distributing product data to various sales and marketing channels. It ensures accurate, consistent, and up-to-date information across platforms.

Data import is the process of bringing data from an external source into a target system. In e-commerce, this often involves populating a PIM with product information from various sources like ERPs or supplier feeds.

Data integrity ensures data is accurate, consistent, and reliable throughout its lifecycle. It is crucial for making informed decisions and maintaining customer trust in e-commerce operations.

Data manipulation is the process of transforming raw data into a structured, clean, and usable format for various applications. It involves cleaning, validating, enriching, and organizing data to meet specific requirements.

Data normalization is the process of structuring data to reduce redundancy and improve data integrity, often involving standardizing formats and values.

Data validation is the process of ensuring that data entered or processed in a system is accurate, consistent, and adheres to predefined rules and formats.

Demand forecasting is the process of predicting future customer demand for products or services. It uses historical data, market trends, and economic indicators to estimate sales volumes.