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Hello all,
I am trying to recreate the table below in PBI. I have models with measures for current inventory, forecasts, orders shipped, production, and transfers. I need to create a table that will pull from all the models and populate the table. The catch is that each column needs to sum and project a forecasted ending inventory. Also, the first column (current month) will update with orders shipping, and production/transfer receipts as the month progresses. Thanks for your attention.
Bonus points for DOS row!!
Solved! Go to Solution.
Thanks for the reply from lbendlin.
Hi @nickal251 ,
Based on the data you said you provided, I unpivoted your tables and created the relationship shown below:
After understanding your logic, I adjusted the rows and columns and hopefully this will meet your needs as well,here are the measures l created:
1.Perform the calculations in the figure:
sumsales = SUM('Current Inv'[Inventory])+SUM('Current Month Shipments'[ Month Shipments])-SUM('Forecast'[Forecast])+SUM('Monthly Production Transfer Rec'[Receipts])
2.Calculate total sales up to the current selection month:
End of month balance =
IF(NOT(SUM('Current Inv'[Inventory])=BLANK()&&SUM('Current Month Shipments'[ Month Shipments])=BLANK()&&SUM('Forecast'[Forecast])=BLANK()&&SUM('Monthly Production Transfer Rec'[Receipts])=BLANK()),
SUMX(FILTER(ALL('Month'),'Month'[YearMonth]<=SELECTEDVALUE('Month'[YearMonth])),[sumsales]))
3.Get the unrestricted inventory similar to the requirement figure:
Inventory =
IF(NOT(ISBLANK(SUM('Current Inv'[Inventory]))),SUM('Current Inv'[Inventory]),
IF(NOT(SUM('Current Inv'[Inventory])=BLANK()&&SUM('Current Month Shipments'[ Month Shipments])=BLANK()&&SUM('Forecast'[Forecast])=BLANK()&&SUM('Monthly Production Transfer Rec'[Receipts])=BLANK()),
SUMX(FILTER(ALL('Month'),'Month'[Index] <= SELECTEDVALUE('Month'[Index]) -1),[sumsales])))
The final result is as follows:
Best Regards,
Zhu
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks for the reply from lbendlin.
Hi @nickal251 ,
Based on the data you said you provided, I unpivoted your tables and created the relationship shown below:
After understanding your logic, I adjusted the rows and columns and hopefully this will meet your needs as well,here are the measures l created:
1.Perform the calculations in the figure:
sumsales = SUM('Current Inv'[Inventory])+SUM('Current Month Shipments'[ Month Shipments])-SUM('Forecast'[Forecast])+SUM('Monthly Production Transfer Rec'[Receipts])
2.Calculate total sales up to the current selection month:
End of month balance =
IF(NOT(SUM('Current Inv'[Inventory])=BLANK()&&SUM('Current Month Shipments'[ Month Shipments])=BLANK()&&SUM('Forecast'[Forecast])=BLANK()&&SUM('Monthly Production Transfer Rec'[Receipts])=BLANK()),
SUMX(FILTER(ALL('Month'),'Month'[YearMonth]<=SELECTEDVALUE('Month'[YearMonth])),[sumsales]))
3.Get the unrestricted inventory similar to the requirement figure:
Inventory =
IF(NOT(ISBLANK(SUM('Current Inv'[Inventory]))),SUM('Current Inv'[Inventory]),
IF(NOT(SUM('Current Inv'[Inventory])=BLANK()&&SUM('Current Month Shipments'[ Month Shipments])=BLANK()&&SUM('Forecast'[Forecast])=BLANK()&&SUM('Monthly Production Transfer Rec'[Receipts])=BLANK()),
SUMX(FILTER(ALL('Month'),'Month'[Index] <= SELECTEDVALUE('Month'[Index]) -1),[sumsales])))
The final result is as follows:
Best Regards,
Zhu
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
As long as there are no conditionals this is achievable in DAX. Have you tried creating a measure yet?
Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).
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Monthly Production/Transfer Receipts
100 | 199,250 | 182,646 | 199,250 | 182,646 | 149,438 | 149,438 |
101 | 25,375 | 21,146 | 23,260 | 23,260 | 25,375 | 16,917 |
102 | 3,875 | 3,875 | 3,875 | 5,329 | 5,329 | 3,875 |
103 | 1,200 | 900 | 800 | 900 | 800 | 1,100 |
104 | 12,500 | 11,250 | 13,750 | 11,250 | 13,750 | 13,750 |
105 | 107,166 | 117,883 | 128,599 | 85,733 | 85,733 | 107,166 |
106 | 6,667 | 7,500 | 9,167 | 8,333 | 9,167 | 8,333 |
107 | 101,662 | 101,662 | 139,786 | 127,078 | 114,370 | 152,494 |
108 | - | - | - | - | - | - |
109 | 715 | 643 | 643 | 715 | 715 | 643 |
Current Inv
100 | 362,000 |
101 | 39,900 |
102 | 20,425 |
103 | - |
104 | 157,500 |
105 | 470,000 |
106 | - |
107 | - |
108 | 217,645 |
109 | - |
Forecast
100 | 130,000 | 130,000 | 130,000 | 153,500 | 140,000 | 153,500 | 198,000 | 191,500 | 191,500 |
101 | - | - | - | - | 31,500 | 31,500 | 33,250 | 31,500 | 31,500 |
102 | 961 | 18,939 | 4,902 | 4,997 | 3,936 | 2,561 | 3,744 | 3,436 | 3,664 |
103 | - | - | - | - | - | - | - | - | 12,000 |
104 | 50,000 | 50,000 | 50,000 | - | - | - | - | - | - |
105 | 120,000 | 110,000 | 113,488 | 60,001 | 145,000 | 58,750 | 150,001 | 78,750 | - |
106 | - | - | - | 100,000 | - | - | - | - | - |
107 | 114,000 | - | - | - | - | - | 19,543 | 342,000 | 607,391 |
108 | - | - | - | - | - | - | - | - | - |
109 | - | - | - | - | 1,508 | - | - | - | - |
Current Month Shipments
100 | - |
101 | - |
102 | 100 |
103 | - |
104 | - |
105 | 18,750 |
106 | - |
107 | - |
108 | - |
109 | - |
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