Which process involves analyzing data to extract information not offered by the raw data alone?

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

Answer: (A)

Data mining is the process of analyzing data to uncover information that isn’t evident from the raw numbers alone. It uses techniques from statistics, machine learning, and pattern recognition to reveal patterns, correlations, and predictive insights that the data by itself doesn’t directly show. For example, it can uncover customer segments, identify unusual spending patterns, or forecast future demand, turning raw data into actionable knowledge. The other terms describe different ideas: Big Data refers to very large and complex datasets and the tools to manage them, not the analytical process itself; data broking is about collecting and selling data rather than analyzing it; agency isn’t a standard term for a data-analysis process.