Which process analyzes data to reveal insights not immediately evident in the raw data?

• A. Big Data
• B. Data broking
• C. Data mining
• D. Agency

Answer: (C)

Data mining is the process of analyzing large data sets to uncover patterns, relationships, and insights that aren’t obvious from the raw numbers alone. It uses methods from statistics, machine learning, and database systems to discover correlations, clusters, anomalies, and predictive signals. This goes beyond simply describing or storing data; it actively extracts hidden structure to support better decisions, such as identifying purchasing patterns, fraud indicators, or customer segments. The other terms don’t describe a process that reveals unseen insights: big data refers to the scale of data, data broking deals with collecting and selling data, and agency isn’t a data-analysis process.