Using a quantitative analysis model, select Option 1 or 2, and provide your analysis. Option 1: You are a professional sports general manager or team owner of a Major League Baseball (MLB) team. Your team has finished in last place over the last 2 years with a total of over 100 losses. Your goal is to turn the team around and make them a contender (i.e., playoffs, championship). The answer lies in data analytics and application of the data (i.e., game plan, strategy, etc.) What data analytics will you use for your playerroster selection for the upcoming season regarding your 40-man total roster (25active and 15 in the minor league farm club)? How do you use data analytics to calculate aplayer’s value to the team and negotiate their salary? Do you consider experience “age”, or does beinga “young hot rookie” play a factor? Explain. Are there any intangibles that cannot bemeasured by data that contribute to individual and team performance? Explain. Is this a good method? Why, or why not? Explain. Option 2: You are on the Starbucks Site Selection Committee. Your task is to select the next Starbucks location for development. What data analysis will you and your team look at for a new Starbucks location? How will you measure them? Why did you select the data you did? How do you convince your boss you selected the correct data?
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