Big Data Analytics in People's Health

DISSERTATION

BIG DATA ANALYTICS IN PEOPLE'S HEALTH

Questionnaires

Q1. Which type of data do you feel is more reliable?

1. Electronic data

2. Documented data

3. Mixed

Q2. Which mode do you prefer for storing your health details?

1. Electronic mode

2. Paper mode

3. Mixed

Q3. How can big data analysis be used for the improvement of the healthcare sector?

1. Management of Health care data

2. Analysing patient health data to predict consequences

3. Provide an architecture to store a large quantity of health data.

4. None of the above

Q4. What is the most common feature of big data that can be helpful in improving the health sector?

1. Use of better prediction of patient diagnosis

2. Process unstructured healthcare data with high velocity

3. Both 1 and 2.

4. None of the above

Q5. What are the challenges with data management?

1. Small data size

2. Structured data

3. Unstructured data

Q6. Are you aware of big data analytics?

1. Yes

2. No

3. A little bit

Q7. With which technology big data can easily compile?

1. IoT

2. Cloud computing

3. AI

Q8. Which feature of big data analytics is useful for handling data?

1. Handling a small size of data

2. Handling structure data

3. Enhancing the performance

4. Handling less complex data

Q9. What are the benefits of using big data analytics?

1. Sharp prediction

2. The low velocity of data analysis

3. Reduces data size

4. Reduces the data complexity

Q10. Which type of data management tool or technology do you use?

1. Oracle data management suite

2. Big data analytics

3. Sap data management

4. Microsoft Master Data Services

Q11. What is the need of using big data analytics?

1. Identifying data sources

2. Complexity in data

3. Reducing data size

4. Data encryption

Q12. What are the policies applied in the case of data commercialization?

1. Decreasing data size

2. Declining risk occurrence

3. Access and welfare

4. Structuring data