Data discovery refers to the process of exploring and analyzing datasets to uncover insights, patterns, or relationships that can inform decision-making or drive business value. It involves identifying relevant data sources, cleaning and preparing data for analysis, and applying various techniques such as data visualization, statistical analysis, or machine learning to extract actionable insights. Data discovery enables organizations to gain a deeper understanding of their data assets, uncover hidden opportunities or risks, and make data-driven decisions to optimize processes, improve performance, and achieve strategic objectives.