Multiple$-$Choice Questions:

Choose the best answer for each question.

What is the primary benefit of integrating analytics into decision making?

A$)$ Reducing the time needed to make decisions

B$)$ Eliminating the need for managerial input

C$)$ Improving the accuracy and effectiveness of decisions

D$)$ Increasing the complexity of decision processes

Which tool is essential for effective decision making in analytics?

A$)$ Data visualization tools

B$)$ Spreadsheet software

C$)$ Project management software

D$)$ All of the above

What role does data quality play in decision making?

A$)$ No role

B$)$ A minor role

C$)$ An important role

D$)$ Only important in large corporations

Which type of analytics directly prescribes one or more courses of action based on predictive and descriptive analytics?

A$)$ Descriptive Analytics

B$)$ Diagnostic Analytics

C$)$ Predictive Analytics

D$)$ Prescriptive Analytics

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B$.$ True$/$False Questions:

Indicate whether the statement is true or false.

Effective decision$-$making always requires complex and extensive data analytics.

True False

Analytics can compensate for poor judgment in decision$-$making processes.

True False

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C$.$ Short Answer Questions:

Provide brief, but comprehensive answers.

Describe how a decision support system $($DSS$)$ can enhance managerial decision$-$making.

Explain the difference between predictive analytics and prescriptive analytics.

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D$.$ Reflection Questions:

Reflect on your learning and personal application.

Consider a time when you had to make a decision without adequate information. How could analytics have improved the situation?

What are some potential ethical considerations you must keep in mind when making decisions based on analytics?