Using and Evaluating Sensitivity Analysis for Business Advantage

Using and Evaluating Sensitivity Analysis for Business Advantage

Assessment

Interactive Video

Business

University

Hard

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The video tutorial explains sensitivity analysis, a tool businesses use to prepare for uncertainties and unexpected scenarios. It highlights how companies like Tesco use it to manage financial risks, particularly currency fluctuations. The tutorial discusses the benefits of being prepared for various scenarios and the challenges, such as increased complexity and data requirements. It emphasizes the importance of accurate data and the need for businesses to be flexible in addressing identified risks.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the main purposes of sensitivity analysis for businesses?

To increase product prices

To prepare for uncertainty and unexpected scenarios

To reduce employee numbers

To expand into new markets

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Tesco use sensitivity analysis to manage financial risks?

By expanding into new markets

By increasing product prices

By reducing employee salaries

By identifying potential currency movements

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key advantage of sensitivity analysis for businesses?

It reduces the need for data

It prepares businesses for worst-case scenarios

It simplifies decision-making

It guarantees profit

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a major downside of sensitivity analysis?

It simplifies data collection

It reduces the need for forecasting

It increases complexity in forecasting

It guarantees risk elimination

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is accurate data crucial for sensitivity analysis?

It reduces the cost of analysis

It ensures effective risk management

It guarantees profit

It simplifies the analysis process

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What challenge do large companies face with sensitivity analysis?

Increased employee turnover

Lack of data

Simplified decision-making

Reduced clarity due to too much data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a potential problem if sensitivity analysis becomes too detailed?

It reduces the need for data

It guarantees profit

It simplifies forecasting

It inhibits decision-making speed and quality