What is the primary goal of data mining?

The primary goal of data mining is to discover patterns and insights from data. This involves using various algorithms and statistical techniques to analyze large datasets quantitatively and qualitatively, allowing analysts to identify hidden relationships and trends that can inform decision-making. By uncovering these patterns, organizations can derive actionable insights, predict future trends, and enhance their strategies across various domains.

While collecting large datasets, analyzing historical data, and visualizing data trends are important aspects of the broader data analysis process, they serve as either preliminary steps or complementary practices rather than the main objective of data mining itself. Data mining focuses specifically on extracting meaningful information and knowledge from data, which goes beyond simple collection, historical analysis, or trend visualization.