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Decision-Making: Human vs Machine in Organizations

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Decision-Making: Human vs Machine in Organizations

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Questions and Answers

What is one of the main purposes of using (Big) Data Analytics in organizations?

Reducing the complexity of decision-making processes

Providing objective validation for management decisions (correct)

Replacing the need for human decision-makers

Eliminating the need for formal education in managers

What additional skill is emphasized for modern management according to the text?

Computational knowledge (correct)

Advanced emotional intelligence

Historical decision-making patterns

Artificial intelligence programming

What are some typical aspects involved in decision-making according to the text?

Emotional intelligence and artistic skills

Historical memorization and storytelling

Physical strength and endurance

Critical thinking and logical thinking (correct)

What do reflective managers need to be aware of?

The complexity of decision-making Signup and view all the answers

What aspect of decision-making does data analytics provide insight into?

Objective validation Signup and view all the answers

What is emphasized as a key factor for managers in decision-making according to the text?

Contextual knowledge and diverse skills Signup and view all the answers

Why is it suggested to find data for a purpose in decision-driven data analytics?

To avoid focusing on the wrong question. Signup and view all the answers

What is a common consequence of anchoring on available data according to the text?

Accepting data uncritically. Signup and view all the answers

How do leaders sometimes misuse data according to the text?

By confirming their preexisting beliefs with data. Signup and view all the answers

What is a key characteristic of decision-driven data analytics?

Challenging preexisting beliefs consistently. Signup and view all the answers

Why is it important for leaders to shift to decision-driven data analytics?

To challenge preexisting beliefs and find data for a purpose. Signup and view all the answers

Why do many executives find their data analytics initiatives disappointing?

The available data often leads to focusing on the wrong questions. Signup and view all the answers

What is a common challenge faced by decision-makers when using data analytics?

Accepting data without questioning its accuracy. Signup and view all the answers

How do leaders sometimes misuse data according to the text?

By using data to confirm their preexisting beliefs. Signup and view all the answers

What is emphasized as a crucial step for shifting to decision-driven data analytics?

Finding purposes for the available data. Signup and view all the answers

What is a key takeaway from the text regarding decision-driven data analytics?

Decision-makers must ensure that data addresses the right questions. Signup and view all the answers

Why is it important for executives to question data critically?

To ensure that they are not influenced by preexisting beliefs. Signup and view all the answers

Decision-Making: Human vs Machine in Organizations

Choose a study mode

Podcast

Questions and Answers

What is one of the main purposes of using (Big) Data Analytics in organizations?

What additional skill is emphasized for modern management according to the text?

What are some typical aspects involved in decision-making according to the text?

What do reflective managers need to be aware of?

What aspect of decision-making does data analytics provide insight into?

What is emphasized as a key factor for managers in decision-making according to the text?

Why is it suggested to find data for a purpose in decision-driven data analytics?

What is a common consequence of anchoring on available data according to the text?

How do leaders sometimes misuse data according to the text?

What is a key characteristic of decision-driven data analytics?

Why is it important for leaders to shift to decision-driven data analytics?

Why do many executives find their data analytics initiatives disappointing?

What is a common challenge faced by decision-makers when using data analytics?

How do leaders sometimes misuse data according to the text?

What is emphasized as a crucial step for shifting to decision-driven data analytics?

What is a key takeaway from the text regarding decision-driven data analytics?

Why is it important for executives to question data critically?

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