Data analytics involves examining raw data to extract insights and make informed decisions. It includes various techniques and processes to clean, transform, and model data to discover patterns, trends, correlations, and other meaningful information. It's used across industries for purposes like optimizing business operations, understanding customer behavior, improving healthcare outcomes, and more. Tools like statistical analysis, machine learning, data mining, and visualization aid in this process, allowing analysts to derive actionable insights from large and complex datasets.