Data analytics simulation for kelsey-white

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Reference no: EM132907003

You must do at least one full run (2019-2022) of the data analytics simulation for Kelsey-White (KW). Once you complete one run, you may do additional runs if you like - you will be graded on the one with the best performance (cumulative profit). Be sure to keep good notes and/or take screenshots of your run so you can refer back to them. Answer the following questions.

-What strategy did you use and ultimately find effective to increase profit? How can you improve on this strategy?

-Were the analytics you used descriptive, diagnostic, predictive, and/or prescriptive (give a short example of each)? Which type did you find most valuable and give an example of how it helped you set your simulation parameters.

-What was your most effective approach to determine the optimal units to produce and at what price to maximize revenue and profit?

-What data/analytics did you use to determine the formulation, product features, trade channel spend, media spend, and target market segmentation?

-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?

Reference no: EM132907003

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