Great deal of past sales data

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Suppose as a manager of a major supermarket/grocery store (e.g., Safeway, Trader Joe's, etc.) you need to choose an appropriate data analytics technique to support product pricing and promotion decisions. The supermarket has accumulated a great deal of past sales data and you would like to use it to learn from it and use that knowledge for such decisions. You are considering using one of the following data mining techniques for this purpose: (1) Linear regression (2) Cluster analysis [A] Which one of the above techniques would you choose and why? (30 points) [B] What variables would you include in the analysis you selected above?

Reference no: EM132156429

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