Data Discovery is the process of finding, exploring, and understanding data across different sources to determine what information is available and how it can be used. It typically involves locating datasets, examining their structure and quality, identifying relationships between data points, and uncovering patterns or useful insights.
In practice, Data Discovery helps teams determine which data is relevant before analysis or decision-making begins. For example, analysts may use it to locate customer, sales, or operational data and understand how those datasets connect. Data catalogs, search tools, metadata, and visualization platforms are commonly used to support the discovery process.
