Question: How does the aggregation of data affect the sales forecast? Would different cuts of the data be more helpful for distinct purposes? What are the

  1. How does the aggregation of data affect the sales forecast?
  2. Would different cuts of the data be more helpful for distinct purposes?
  3. What are the challenges of creating more focused, granular forecasts (vs. high levels of aggregation)?

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