Data Glossary Lab

A Data Analyst analyzes data and reports insights from their analysis, often using a combination of coding and non-coding tools in order to support decision-making.

Data Analysis (DA) is the technical discipline focused on cleaning, transforming, visualizing, and exploring data to extract meaningful patterns and insights.

Data mining is the process of collecting relevant data from various sources, cleaning and transforming it to the right format, detecting and extracting meaningful hidden trends, patterns, and interconnections between the data, and communicating actionable insights to help the organization make data-driven decisions and develop better strategies

A database management system is software used to easily perform different operations on data: accessing, manipulating, retrieving, managing, and storing the data in a database.

Descriptive analytics is the process of examining historical data to understand what happened in your business and why it happened. It's the foundation of data analysis—the autopsy that reveals patterns, trends, and insights buried in your numbers.

A dashboard is your business's command center—a single screen that consolidates critical metrics, KPIs, and data points into digestible visual displays.

A data pipeline is the digital circulatory system of the modern enterprise.

Deep Learning is a subset of artificial intelligence that uses multi-layered artificial neural networks to process and learn from complex, unstructured data including images, audio, video, and text.

Data Analytics is the systematic process of examining, cleaning, transforming, and interpreting data to discover meaningful patterns, extract actionable insights, and support evidence-based decision-making across organisations.