The term augmented analytics refers to the use of machine learning and natural language processing to enhance data analysis processes. It automates data preparation and enables analysts to derive insights from data more efficiently. By integrating these technologies, augmented analytics allows for improved data visualization and predictive analysis, making complex data more accessible to non-analysts. This democratizes data insights, empowering users across organizations to make data-driven decisions without requiring extensive statistical expertise.