With the following data model, can we calculate which store produces the greatest revenue for a given month?

Question

BlackTom AI · Accepted Answer

To determine whether we can calculate which store produced the greatest revenue for a given month, we must look at the data model and the available fields.
Option 1 (True): Since the Fact Table contains Time Key, Location Key (which ties to the Store Number in the Location Dimension), Product Key, Unit Price, Quantity, and Discount Percentage, we can compute revenue for each sale line as Revenue = Quantity × Unit Price × (1 − DiscountPercentage). The Time Dimension provides month information, and the Location Dimension provides Store Number. By joining the Fact Table with Time and Location dimensions, grouping by Month and Store Number, and summing Revenue, we can identify which store generated the most revenue for that month. This is a standard star-schema capability where facts are analyzed along time and location dimensions.
Option 2 (False): If any of the required fields were missing (for example, if Discount Percentage were not stored, or Unit Price/Quantity were not captured in the fact), calculating revenue would be impossible or would require approximations. Additionally, if the Time Dimension did not include a month granularity or the Location Dimension did not correctly map to stores, the monthly revenue-by-store aggregation would be unreliable. However, given the present model, these fields are available, making this option inaccurate.
In summary, with the provided schema, the necessary granularity and linking keys exist to compute and compare revenue per store for a specified month, assuming correct data in the fact and dimensions.

is_525_120251_243065 Quiz 1

With the following data model, can we calculate which store produces the greatest revenue for a given month?

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