Читать книгу Profit Driven Business Analytics - Baesens Bart - Страница 13

Multiple Choice Questions

Question 1

Which is not a possible evaluation criterion for assessing an analytical model?

a. Interpretability

b. Economical cost

c. Operational efficiency

d. All of the above are possible evaluation criteria.

Question 2

Which statement is false?

a. Clustering is a type of predictive analytics.

b. Forecasting in essence concerns regression in function of time.

c. Association analysis is a type of descriptive analytics.

d. Survival analysis in essence concerns predicting the timing of an event.

Question 3

Which statement is true?

a. Customer lifetime value estimation is an example of classification.

b. Demand estimation is an example of classification.

c. Customer churn prediction concerns regression.

d. Detecting fraudulent credit-card transactions concerns classification.

Question 4

Which is not a characteristic of a good data scientist? A good data scientist:

a. Has a solid business understanding.

b. Is creative.

c. Has thorough knowledge on legal aspects of applying analytics.

d. Excels in communication and visualization of results.

Question 5

Which statement is true?

a. All analytical models are profit-driven when applied in a business setting.

b. Only predictive analytics are profit-driven, whereas descriptive analytics are not.

c. There is a difference between analyzing data for the purpose of explaining or predicting.

d. Descriptive analytics aims to explain what is observed, whereas predictive analytics aims to predict as accurately as possible.

Open Questions

Question 1

Discuss the difference between a statistical perspective and a business perspective toward analytics.

Question 2

Discuss the difference between modeling to explain and to predict.

Question 3

List and discuss the key characteristics of an analytical model.

Question 4

List and discuss the ideal characteristics and skills of a data scientist.

Question 5

Draw the analytics process model and briefly discuss the subsequent steps.