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Case study: You are hired as a consultant by Metro Solutions Inc. for developing their data analytics strategy. Metro is a shoe manufacturing company with products offered for men, women and kids. Metro has over 1 million customers and has been in business for more than 25 years. Metro has operations in North America, Russia, Japan and India.
Metro is targeting to sell 500,000 pair of shoes in next year. Till today, Metro did not have any data analytics department and now Metro has a budget of $100 million for next 3-5 years. Metro believes that a strong data analytics strategy can help them plan better and acquire these customers smartly.
Please provide response for below mentioned questions:
Question 1: What should be Metro's data analytics strategy for next 3-5 years (up to 5 slides)Question 2: What areas of data analytics should metro focus on and why ? (descriptive, prescriptive etc. ) and how would you prioritize Metro's budget and Why?Question 3: What considerations should Metro keep in mind while they build their service chat bot for answering customer queries, please provide high-level overview on how they can build chatbot (no programing required but a high level process diagram is required)Question 4: What mistakes should Metro avoid while spending limited budgetQuestion 5: How can Metro use data analytics to achieve their objective of acquiring market share in diverse markets
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