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eriwet
Frequent Visitor

How to associate columns with a certain quarter

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).

eriwet_0-1700500000410.png

 



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ray_aramburo
Super User
Super User

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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4 REPLIES 4
eriwet
Frequent Visitor

Thanks, quite simple to unpivot - thanks for the advice. 

ray_aramburo
Super User
Super User

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. 





Did I answer your question? Give your kudos and mark my post as a solution!

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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