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Hi, this seems to me like a trivial task, but I fail to figure out how to do it in a simple and straight forward way.
I'd like to evaluate the accuracy of a forecast against the actual outcome. I have the forecasted volumes for some part numbers in one table (Table 1 below), with each part number having the forecasted total volume per quarter in four different columns.
The actual output have the same part numbers and the actual call-offs of those part numbers - one row for the total volume per day. (Table 2)
Now, I'd like to visualize the accuracy of the forecast by subtracting the sum of the actual call-offs per part number for each quarter.
I have made an auto date/time table in which I can get the Quarter and connect to the the call-off table, but how do I associate the columns in the first table to each quarter?
I'd lika also to maintin the possibility to see the difference on a more aggregated level (i.e. for all quarters at the same time).
Solved! Go to Solution.
You will necessarily need to have a date column in table 1 in order to match the periods with table 2. I know sometimes forecast are flat values but you can use either the first or last day of the quarter/month as reference.
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Thanks, quite simple to unpivot - thanks for the advice.
You will necessarily need to have a date column in table 1 in order to match the periods with table 2. I know sometimes forecast are flat values but you can use either the first or last day of the quarter/month as reference.
Proud to be a Super User!
Ok, sounds reasonable, but since each row in Table 1 has four different columns with forecasted volumes (one per quarter) would I then have to transform Table 1 to have four rows for each part number?
That's right, you can unpivot it on Power Query.
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