E-commerce Dictionary

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 process of transforming raw data into high-quality, consumable products with defined ownership, quality standards, and specific use cases.

The process of analyzing and auditing data sources to understand content, structure, and quality before processing or migration.

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

Data Quality Monitoring is the continuous process of tracking, measuring, and reporting on the quality of data over time. It identifies inconsistencies, errors, and gaps to ensure data remains accurate and reliable.

A software component that defines, applies, and enforces data quality rules to ensure product information meets predefined standards.

A data quality score is a quantifiable metric that assesses the completeness, accuracy, consistency, and timeliness of a dataset or specific data points.

Data residency refers to the physical or geographic location where data is stored and processed, often driven by legal and regulatory requirements.