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

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 challenges of creating more focused, granular forecasts (vs. high levels of aggregation)?
How could this level of aggregation factor into the woes experienced by the store managers/owners?

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