assignment 2

Each question should have reference after each answer

1. How does prescriptive analytics relate to descriptive and predictive analytics? (150 words)

2. Explain the differences between static and dynamic models. How can one evolve into the other? (150 words)

3. What is the difference between an optimistic approach and a pessimistic approach to decision making under assumed uncertainty? (150 words)

4. Explain why solving problems under uncertainty sometimes involves assuming that the problem is to be solved under conditions of risk. (150 words)

5. Investigate via a Web search how models and their solutions are used by the U.S. Department of Homeland Security in the “war against terrorism.” Also investigate how other governments or government agencies are using models in their missions.(300 words)

6. What is Big Data? Why is it important? Where does Big Data come from? (150 words)

7. What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be? (150 words)

8. What is Big Data analytics? How does it differ from regular analytics? (150 words)

9. What are the critical success factors for Big Data analytics? (150 words)

10. What are the big challenges that one should be mindful of when considering implementation of Big Data analytics? (150 words)

11. At teradatauniversitynetwork.com, go to the Sports Analytics page. Find applications of Big Data in sports. Summarize your findings. (300 words)