E-commerce Dictionary
Not sure what a term means? Find plain-English definitions, real-world examples, and practical tips for PIM, product data, and all things e-commerce.
All Terms
Data Cleansing
Data cleansing, also called data cleaning or data scrubbing, is the process of finding and fixing errors in a dataset: duplicates, typos, inconsistent formats and units, outdated records and missing values. In ecommerce it is mostly applied to product data.
Data Consolidation
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 Contract
A formal agreement between data producers and consumers that defines the schema, quality standards, and delivery expectations for product information.
Data Decay
Data decay is the gradual degradation of product information quality over time, leading to inaccuracies that hurt sales and customer trust.
Data Deduplication
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
Data enrichment is the process of adding, improving, and optimizing existing product data with more detailed, accurate, and valuable information from various sources.
Data Feed
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
Data governance establishes policies and processes to manage data availability, usability, integrity, and security across an organization.
Data Ingestion
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.
Data Lake for Product Data
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
Data lineage tracks the origin, transformations, and destinations of data, providing a complete audit trail for compliance, quality, and understanding data flows.
Data Mapping Rules
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
Data Mesh is a decentralized architectural framework that shifts data ownership from a central team to domain-specific teams, treating data as a product.
Data Model
A data model defines the structure, relationships, and constraints of data within a system, organizing how product information is stored and managed.
Data Orchestration
The automated coordination and management of data flows across various systems and applications within an e-commerce ecosystem.
Data Productization
The process of transforming raw data into high-quality, consumable products with defined ownership, quality standards, and specific use cases.
Data Profiling
The process of analyzing and auditing data sources to understand content, structure, and quality before processing or migration.
Data Quality
The measure of how accurate, complete, consistent, timely, and valid your product information is.
Data Quality Monitoring
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.
Data Quality Rules Engine
A software component that defines, applies, and enforces data quality rules to ensure product information meets predefined standards.
Data Quality Score
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
Data residency refers to the physical or geographic location where data is stored and processed, often driven by legal and regulatory requirements.
Data Sovereignty
The legal principle that digital data is subject to the laws and governance of the country in which it is physically collected, stored, or processed.
Data Steward
An individual or team responsible for the quality, integrity, and governance of specific data domains within an organization.
Data Stewardship
Data stewardship involves the responsibility for managing, overseeing, and ensuring the quality and integrity of an organization's data assets.
Data Stewardship Council
A Data Stewardship Council is an organizational body responsible for overseeing and enforcing data governance policies and standards within a company, including product data.
Data Syndication
The process of distributing product information from a central PIM system to multiple sales channels, marketplaces, and touchpoints.
Data Syndication Platform
A data syndication platform is a specialized tool that automates the distribution of product information to various external channels and partners.
Data Transformation
Data transformation is the process of converting data from one format or structure into another, often necessary for data integration and syndication.
Data Virtualization
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
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
Data feed management, also called product feed management, is the ongoing process of turning your product data into feeds that each sales and ad channel accepts, then keeping those feeds accurate, error-free and optimized.
Data import
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
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
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
Data normalization is the process of structuring data to reduce redundancy and improve data integrity, often involving standardizing formats and values.
Data validation
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
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.
Digital Asset Management (DAM)
DAM is a system for organizing, storing, and retrieving rich media files (images, videos) that are critical for product content and marketing efforts.
Digital Asset Rendition Automation
Digital asset rendition automation is the process of automatically generating multiple versions (renditions) of digital assets like images or videos to fit various channel requirements.
Digital Catalog
A digital catalog is an online version of a product catalog. Shoppers and buyers browse, search and click through it on any device, and the prices, stock and product details can be updated without reprinting.
Digital Commerce Platform (DCP)
A Digital Commerce Platform (DCP) is the comprehensive technology stack that enables businesses to sell products and services online, encompassing various e-commerce functionalities.
Digital Product Asset Management (DPAM)
A specialized form of DAM focused exclusively on managing digital assets directly related to products, such as images, videos, and 3D models.
Digital Product Experience (DPX)
Digital Product Experience (DPX) refers to the entire digital customer journey and the role of rich product information in shaping it across all touchpoints.
Digital Product Passport (DPP)
A Digital Product Passport (DPP) is a digital record providing comprehensive information about a product's sustainability, origin, and lifecycle, often accessed via a QR code.
Digital Product Twin
A digital product twin is a virtual replica of a physical product, updated with real-time data to mirror its status, behavior, and performance.
Digital Rights Management (DRM)
Digital Rights Management (DRM) refers to technologies and processes used to control the use, modification, and distribution of copyrighted digital content and assets.