Montclair State University Data Analytic Strategies for Search Total Profit Questions

Complete at least one run of the data analytics simulation for Kelsey-White (KW). You may complete additional runs if you would like. Be sure to keep good notes and/or take screenshots of your run so you can refer back to them. Answer the following questions.

1. How did you do on your best run as determined by total profit? What strategies did you use? How do you think you can improve?
2. Were the analytics used descriptive, predictive, and/or prescriptive? Provide specific examples.
3. Which, if any, machine learning approaches do you think would have provided the most benefit in making your decisions? Why?
4. How much effort did you put into exploring the past data about Blue’s performance? What did you learn from it?
5. What filters did you use? Did they cause you to change your approach?
6. How did you determine demand? Was a range difficult to deal with? How would a specific number help or hurt your analysis?
7. How did social sentiment influence your decision making? How do you think real consumer products companies (e.g., Proctor and Gamble) should use social data?