Which technique should the analyst use to group service calls into low-, medium-, and high-priority levels for analysis?

• A. Binning
• B. Augmentation
• C. Imputation
• D. Scaling

Answer: (A)

Grouping data into discrete categories by binning helps turn a continuous measure of service attributes into clear levels like low, medium, and high. Binning assigns each observation to a category based on defined thresholds, making it easier to compare priority groups, spot patterns, and present concise insights for decision-making. This approach is especially useful when stakeholders need simple, action-oriented categories rather than a single continuous score. The other techniques don’t fit the goal: scaling preserves a continuous scale, not discrete levels; imputation addresses missing values; augmentation adds more data rather than creating categories.