E-commerce Dictionary

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.

A formal agreement between data producers and consumers that defines the schema, quality standards, and delivery expectations for product information.

Data decay is the gradual degradation of product information quality over time, leading to inaccuracies that hurt sales and customer trust.

Data deduplication is the process of identifying and removing redundant copies of product information to ensure data integrity and a single source of truth.

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.

Data Mesh is a decentralized architectural framework that shifts data ownership from a central team to domain-specific teams, treating data as a product.