Language

[Webinar] Maximizing data value: How data products and marketplaces accelerate data consumption for business users

Register for the webinar
Home > Glossary

Glossary

Dashboard as a Service (DaaS)

Dashboard as a Service (Daas) is a cloud-based solution that enables the easy creation of online dashboards without requiring deep technical skills.

Data Accessibility

Data accessibility refers to how easy it is for an organization’s data to be discovered, accessed, understood and utilized effectively by all.

Data Analyst

A data analyst collects, processes and analyzes an organization's data, ensuring data is used as a decision-making tool.

Data architect

The data architect designs and manages an organization's data architecture, which collects, stores, processes, analyzes and shares all data.

Data Architecture

A data architecture provides a framework for collecting, storing, sharing, processing, analyzing and reusing data, thus turning it into value.

Data as a product

Data as a Product (DaaP) is an approach that creates standalone products built on data, enabling it to be used by internal and external users. A data ...

Data Asset

A data asset is any digital object or entity made up of data. It could be a dataset, document, visualization or data service.

Data Asset Inventory (DAI)

A data asset inventory (DAI) is a structured catalog that finds, lists and details all of an organization’s data, aiding compliance and data security....

Data Asset Management

Data asset management is the end-to-end process of organizing, managing, and optimizing data assets to generate business value.

Data automation

Data automation refers to the practice of processing data through automated software. Essentially, the tasks of collecting, exploring, cleaning or man...

Data catalog

A data catalog is an inventory of all data within an organization. This enables internal and external users to easily find and access information.

Data cleansing

Data cleansing (or data cleaning) is the process of identifying and fixing incorrect, incomplete, duplicate, unneeded, or invalid data in a data set.

Data culture

A data culture is where everyone in an organization relies on, and uses, data within their working lives for decision making, planning and operations.

Data dashboards

Data dashboards are management tools that collect and display metrics, such as key performance indicators, to monitor and improve business activities.

Data Dictionary

A data dictionary provides detailed technical specifications about data elements, structures and attributes within a specific data source.

Data discovery

Data discovery involves finding and classifying data from multiple sources and making it available for all to improve decision making and performance....

Data ethics

Data ethics covers the ethical and moral obligations of collecting, sharing, and using data, focused on ensuring that data is used fairly, for good.

Data Exchange

A data exchange enables the secure, controlled, self-service sharing of data between different organizations, allowing potential data monetization.

Data exploration

Data exploration is the first step in data analysis, where data visualization and statistical techniques are used to better understand the nature of d...

Data governance

Data governance covers how you identify, organize, handle, manage, and use data collected in your organization, reducing risk and enabling agility.

Data Governance Officer

A data governance officer is responsible for leading and coordinating data governance activities on a day-to-day basis. Data governance covers how an ...

Data innovation

Data innovation is the use of data and analytics to create new added-value products, solutions, processes, organizational methods and markets.

Data integration

Data integration covers bringing together data from multiple different sources, making it more actionable and useful to those who access it.

Data Intelligence

Faced with vast data volumes, data intelligence is crucial to identifying the most relevant information.

Data interoperability

Data interoperability is vital in order to foster collaboration, decision-making, and information sharing. Today’s world is characterized not just by ...

Data join

Data join involves combining multiple datasets into one, increasing the relevance of data and enabling deeper analysis.

Data Lake

A data lake is a large-scale, centralized repository which stores and processes structured, semistructured, and unstructured data in its raw format.

Data Lifecycle

Data plays an essential role in organizational success. It fuels strategic and operational decisions. It drives innovation and revenue generation for ...

Data lineage

Data lineage (or data traceability) provides full visibility of the data lifecycle inside and outside the organization, including any changes made.

Data literacy

Data literacy is the ability to read, understand, work with, analyze and communicate with data, turning it into meaningful, relevant information.

Data Management Platform (DMP)

A complete definition of Data Management Platforms (DMPs), their benefits, and their central role in modern data management.

Data Mapping

Data mapping is the process of matching data fields from one database or information source, to related fields in a destination source or system.

Data Marketplace

A data marketplace is a centralized space where datasets and data assets can be accessed, exchanged and shared between organizations and individuals.

Data Mart

A subset of a data warehouse, a data mart is a way of storing data focused on a particular office, department, line of business area or subject.

Data Mesh

Data mesh is a decentralized, federated approach to data management that enables data sharing and data democratization across the organization.

Data mining

Data mining is the analysis of huge volumes of data to find hidden patterns, anomalies, or correlations, predicting future trends and opportunities.

Data Normalization

Data normalization ensures that data from different sources is organized and structured in a uniform, consistent and logical way, removing anomalies.

Data Pipeline

A data pipeline covers the steps involved in processing, optimizing and preparing raw data from disparate sources, so it can be used by the business

Data portal

The following article provides a comprehensive definition of data portals. In an ever-evolving digital world, understanding the role and capabilities ...

Data Preparation

Data preparation (or pre-processing) validates, cleans, consolidates and enriches the raw data collected by an organization.

Data producer

A data producer is the root source of data. It can be a person manually entering data, an automated service, or a device/machine that gathers data.

Data product

A data product is a product built around data, enabling users to complete a specific task or objective using that underlying data.

Data quality

Data quality is a measure of the condition of data, based on areas including accuracy, completeness, timeliness, consistency and reliability.

Data Reuse

Data reuse is when information is reused for purposes other than the one it was initially collected for. This creates new value from the data.

Data room

A data room is a secure place that an organization uses to share confidential documents with selected third parties.

Data science

Data science is the practice of extracting and applying valuable information and insights from large volumes of structured and unstructured data.

Data silo

A data silo is a collection of data created by one department or system that is inaccessible to the wider organization.

Data sourcing

Data sourcing is the systematic, methodological process of collecting raw data from inside and outside an organization.

Data Space

A data space brings together relevant data infrastructures from different partners and shares them in an interoperable, secure and standardized way.

Data steward

A data steward helps implement a good data governance strategy across their organization to guarantee the quality, usability, and security of data.

Data storage

Data storage is the retention of digital information on recording media, so that it can be accessed by computers or other devices for future use.

Data storytelling

Data storytelling involves making information easily understandable and compelling by using storytelling techniques to provide context.

Data Streaming

What is data streaming? Why is it essential for real-time analysis and decision-making?

Data Transformation

Data transformation involves transitioning data from an external source to an internal information system.

Data Virtualization

Data virtualization brings together data from multiple, disparate sources across the organization in real-time, in a single, virtual location.

Data Warehouse

A data warehouse brings together data from multiple sources into a single, centralized, large repository for storage, analysis and reporting.

Data-as-a-Service / Data Service

Data-as-a-Service (or DaaS) is a business model where organizations offer customers and partners access to their data, normally through subscription.

Data-driven

In a data-driven organization employees across all departments rely on insights from data to support strategic and operational decision making.

Database Administrator

The Database Administrator ensures that the thousands of pieces of information stored in an organization's databases are reliable, high-quality, secur...

Database management systems (DBMS)

A database management system (DBMS) is software that allows data to be stored, retrieved, sorted, deleted, modified or used.

Dataset

A dataset is a collection of related data points, providing data in an understandable form to be shared and reused internally and externally.

Dataset schema

A dataset schema is a blueprint that outlines how particular data, such as in a database, is structured, configured and organized.

Digital Asset Management

Digital Asset Management (DAM) enables the efficient and secure storage, retrieval and management of digital files and assets.

Digital Twin

A digital twin is a virtual replica of a physical element which is capable of reproducing its behavior and lifecycle.

Self-Service Business Intelligence

Self-service business intelligence (BI) solutions enable a wider audience to successfully benefit from business intelligence tools. Explore what self-...

Self-service data

Self-service data enables everyone within an organization or ecosystem to independently access, query and gain insights from data.

Self-service data platform (SDP)

A self-service data platform (SDP) enables the independent discovery, access, and analysis of data sets and the creation and management of data produc...

Smart City

A smart city is an area that uses technology and data to improve the citizen experience, increase efficiency, innovate, and meet its wider objectives.

Smart grids

Smart grids aim to optimize the production, distribution and consumption of electricity through connected technology, including networks and sensors.

Smart Parking

Smart parking uses digital technologies to optimize vehicle parking, saving time, reducing pollution and improving the driving experience.

Snowflake schema

A snowflake schema is a type of database/data warehouse schema used to store data through a multi-dimensional structure.

Sovereign AI

Sovereign AI covers an individual nation’s ability to control, create and deploy AI models using its own infrastructure, data, workforce and networks....

Sovereign Cloud

A sovereign cloud is a cloud environment that is physically located within one country, facilitating compliance with local laws.

Standardized Data

Standardized data is data from different sources that has been transformed into a consistent, standards-based format, allowing meaningful comparisons.

Star schema

A star schema is the simplest type of database/data warehouse schema used to store data, with the model’s design resembling a star shape.

Statistical Data and Metadata eXchange (SD...

SDMX (Statistical Data and Metadata eXchange) is a standard developed by the statistics community to manage and automate the process of exchanging and...

Structured and Unstructured Data

Structured and unstructured data are terms to describe the format and models of specific data, and impact how data is collected, stored and analyzed.

Ready to dive in?

Book your live demo today

+3000

Data projects

+25

Countries

8.5/10

Overall satisfaction rating from our customers

Demo request