A business analyst uses a model to determine staffing needs in a call center. What type of analytics does this represent?

A business analyst uses a model to determine staffing needs in a call center. What type of analytics does this represent?

• A. Descriptive
• B. Prescriptive
• C. Predictive
• D. Diagnostic

Answer: (B)

The scenario describes a business analyst using a model specifically to determine staffing needs in a call center, which involves making recommendations for future actions based on data analysis. This aligns with prescriptive analytics, as it focuses on providing actionable insights and recommendations to optimize outcomes. Prescriptive analytics goes beyond merely describing or predicting outcomes; it advises on what actions to take to achieve desired objectives. In this case, the analyst is using data to inform decisions about how many staff members should be scheduled for optimal performance, which is a classic application of prescriptive analytics. Descriptive analytics would involve summarizing past data to understand what has happened, while predictive analytics would focus on forecasting future trends or outcomes based on historical data. Diagnostic analytics, on the other hand, seeks to explain why something happened, often through data analysis and correlation. In contrast, the process of determining staffing needs inherently aims to guide future staffing practices, thus categorizing it squarely within prescriptive analytics.

The scenario describes a business analyst using a model specifically to determine staffing needs in a call center, which involves making recommendations for future actions based on data analysis. This aligns with prescriptive analytics, as it focuses on providing actionable insights and recommendations to optimize outcomes.

Prescriptive analytics goes beyond merely describing or predicting outcomes; it advises on what actions to take to achieve desired objectives. In this case, the analyst is using data to inform decisions about how many staff members should be scheduled for optimal performance, which is a classic application of prescriptive analytics.

Descriptive analytics would involve summarizing past data to understand what has happened, while predictive analytics would focus on forecasting future trends or outcomes based on historical data. Diagnostic analytics, on the other hand, seeks to explain why something happened, often through data analysis and correlation. In contrast, the process of determining staffing needs inherently aims to guide future staffing practices, thus categorizing it squarely within prescriptive analytics.