Which practice is described by using data analysis methods to uncover insights from data, including mathematical and computational techniques?

• A. Data mining
• B. Analytics
• C. Statistical analysis
• D. Machine learning

Answer: (B)

Analytics describes the broad practice of using data analysis methods to uncover insights from data, drawing on mathematical and computational techniques to examine, interpret, and act on information. It covers descriptive, diagnostic, predictive, and prescriptive approaches, not just one type of technique, which is why it best matches the idea of uncovering insights through a range of methods. Data mining is a powerful component within analytics focused on discovering hidden patterns in large datasets, but the description points to the wider analytical process rather than a single technique. Statistical analysis is a key tool within analytics that emphasizes inference from data, yet it is narrower in scope than analytics as a whole. Machine learning concentrates on creating predictive models, which is part of analytics, but by itself it doesn’t encompass the entire practice of turning data into actionable insights using diverse mathematical and computational methods.