Data Analytics Program Quiz 4

Data Analytics Quiz 4

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1. Which industry commonly uses data analytics to detect fraudulent transactions in real time?

Healthcare

Manufacturing

Retail

Financial Services

2. In the healthcare industry, how is predictive analytics commonly used?

To diagnose patients without medical tests

To forecast disease outbreaks and recommend early interventions

To replace doctors in making treatment decisions

To eliminate the need for electronic health records

3. Which of the following is a key way data analytics is transforming the retail industry?

Limiting the use of loyalty programs

Optimizing inventory management and personalized marketing

Reducing the number of employees needed in stores

Removing the need for customer feedback collection

4. Which type of analytics is typically used in supply chain management to optimize logistics and reduce costs?

Predictive Analytics

Prescriptive Analytics

Descriptive Analytics

Diagnostic Analytics

5. How does data analytics contribute to problem-solving in the manufacturing industry?

By eliminating the need for quality control checks

By tracking machine performance and predicting maintenance needs

By ensuring all products are manufactured manually

By increasing production errors

6. Which of the following best describes how data analytics is used in agriculture?

Predicting weather patterns and optimizing crop yield

Replacing the need for manual labor entirely

Ensuring that no irrigation systems are needed

Preventing farmers from accessing financial resources

7. How is data analytics applied in the transportation and logistics industry?

By focusing only on historical shipment data

By reducing the need for supply chain management

By using real-time GPS tracking to optimize delivery routes

By limiting the use of automated scheduling systems

8. Which sector relies heavily on data analytics for audience segmentation and targeted advertising?

Entertainment and Media

Healthcare

Manufacturing

Education

9. How can data analytics help organizations address customer service challenges?

By making all customer interactions automated and impersonal

By analyzing customer feedback and predicting common service issues

By preventing customers from submitting complaints

By eliminating the need for customer support teams

10. Which of the following is a key challenge companies face when applying data analytics for problem-solving?

Having access to too much perfectly structured data

The ability to make accurate predictions without any historical data

Eliminating all risks associated with business decisions

Lack of data-driven decision-making skills

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Data Analytics Program Quiz 4

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