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Glossary
Learn about common terms from the world of data & AI.
Data delivery is the secure, customizable, and destination-agnostic process of transferring data to end users through user-friendly, transparent infrastructure that controls access, formats, and cross-cloud distribution while optimizing for cost and operational efficiency.
A data company is a business that collects, processes, analyzes, and sells or licenses data to other organizations for purposes such as decision-making, marketing, or improving products and services.
A data seller is a company selling data assets on a data marketplace or other data monetization platform.
A data broker is a business that collects, processes, and sells data, including consumer information, to third-party entities for various purposes, such as marketing, research, and analytics.
Data exchange refers to the process of sharing and transferring data between different organizations, systems, or applications; or a platform enabling this.
Data valuation is the process of assessing the economic worth of data based on its quality, utility, and potential to generate business value.
A data aggregator is a company or platform that collects, processes, and combines data from multiple sources into a unified dataset for analysis or distribution.
A data catalog refers to a centralized inventory or directory of data assets that enables organizations to discover, understand, and access data.
Data curation is the process of organizing, managing, and preserving data to ensure its quality, relevance, and usability over time. It involves collecting, cleaning, annotating, and storing data for future use, particularly in research, analysis, and decision-making contexts.
Data sharing is the process of sharing data resources within and between entities and organizations whilst preserving the data’s quality.
A data shop is a digital storefront on which a data provider lists their data products.
A database is an organized collection of structured data stored electronically, which can be easily accessed, managed, and updated by users or applications.
A dataset is a collection of related data, typically organized in a single table or file, that can be analyzed or used for specific purposes, whereas a **database** is a more complex, structured system that stores and manages multiple datasets across various tables and relationships.
A data API is an application programming interface that allows users or systems to access, retrieve, and interact with data stored in databases or services over the internet, typically using standardized protocols.
Data commerce refers to the economic model motivating companies to share their data.
Data commercialization is the process of generating revenue by packaging, selling, or licensing data to external parties or using data to create new products and services.
A data vendor is a company or entity that collects, processes, and sells or licenses data to other organizations for commercial use.
A data product is a packaged and processed dataset or data-driven application that provides valuable insights, analytics, or functionality to users, often designed for specific business needs or use cases.
Data-as-a-Service (DaaS) is a business model where commercial data providers deliver data on-demand to customers, typically through subscriptions or pay-per-use, allowing organizations to access and utilize data without managing the underlying infrastructure.
A company offering datasets, APIs, or databases.
A data marketplace is a digital platform on which data providers can publish product listings with a view to attracting inbound data demand.
Data monetization is the process of extracting commercial value from data assets.
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