E-commerce Dictionary

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

Data consolidation is the process of collecting and integrating data from various disparate sources into a single, unified, and consistent view. It aims to eliminate redundancies and inconsistencies, creating a reliable 'single source of truth' for an organization.

Data enrichment is the process of adding, improving, and optimizing existing product data with more detailed, accurate, and valuable information from various sources.

A data feed is a structured file containing product information, used to transmit data efficiently between systems or to various sales and marketing channels. It ensures consistent and up-to-date product listings across platforms.

Data governance establishes policies and processes to manage data availability, usability, integrity, and security across an organization.

Data ingestion is the process of collecting, importing, and processing raw data from various sources into a system like a PIM, often involving initial validation and transformation.

A centralized repository for storing large volumes of raw, unstructured, and semi-structured product data from various sources before it's processed or structured.

Data lineage tracks the origin, transformations, and destinations of data, providing a complete audit trail for compliance, quality, and understanding data flows.

Specific instructions defining how data fields from a source system correspond to fields in a target system, ensuring accurate data transfer and transformation.

A data model defines the structure, relationships, and constraints of data within a system, organizing how product information is stored and managed.

The automated coordination and management of data flows across various systems and applications within an e-commerce ecosystem.

The measure of how accurate, complete, consistent, timely, and valid your product information is.