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Hello,
We are creating a dashboard in Power BI and are having difficulty with a display request from our users. I am hoping you can help with that because I don't know how to start this.
Our company receives shipments into warehouse 0002 and then transfer items to our other warehouses that need replenishment. This dashboard is going to be used by a person in warehouse 0002 and help her determine which warehouse she needs to create a transfer to (specific to that ITEM).
Our table consists of three columns:
ITEM – this is the item that may or may not need a transfer
WHSE – displays the warehouse number
WHSE QTY – shows the qty of that item. If it is positive, we have inventory. If it is negative, that warehouse is demanding inventory.
Here are some conditions that we are looking to satisfy for the development of this dashboard.
ITEM | WHSE | WHSE QTY |
258963 | 0002 | 3 |
258963 | 0004 | -3 |
258963 | 0030 | -3 |
ITEM | WHSE | WHSE QTY |
7013 | 0002 | -2 |
7013 | 0032 | 1 |
ITEM | WHSE | WHSE QTY |
7016 | 0002 | 1 |
7016 | 0032 | 1 |
7016 | 0004 | 1 |
ITEM | WHSE | WHSE QTY |
8478 | 0032 | -1 |
8478 | 0004 | -9 |
Here is some sample data, if helpful. The examples above, appear here. This community has been really great. I've learned so much from here. I hope to be as proficient at Power BI as all of you are soon so that I can give back and start helping others!
ITEM | AVAILABLE WHSE | WHSE QTY |
101 | 0002 | -2 |
101 | 0030 | -2 |
101 | 0032 | -2 |
101 | 0004 | -2 |
1232.15882 | 0002 | 9 |
1232.15882 | 0032 | 2 |
3013 | 0030 | 2 |
3103 | 0030 | -3 |
3103 | 0002 | -3 |
3103 | 0032 | -3 |
3103 | 0004 | -3 |
7013 | 0002 | -2 |
7013 | 0032 | 1 |
7016 | 0002 | 1 |
7016 | 0032 | 1 |
7016 | 0004 | 1 |
7204 | 0030 | 1 |
7204 | 0002 | 2 |
8478 | 0032 | -1 |
8478 | 0004 | -9 |
9550 | 0030 | -9 |
9550 | 0002 | 58 |
9550 | 0032 | -9 |
17817 | 0002 | 247 |
17817 | 0032 | -53 |
21884 | 0002 | 258 |
21884 | 0032 | -36 |
056-0207 | 0030 | 5 |
056-0207 | 0002 | 2 |
055FBSH015+054S01s806 | 0002 | 1 |
055FBSH015+054S01s806 | 0034 | -1 |
258963 | 0002 | 3 |
258963 | 0004 | -3 |
258963 | 0030 | -3 |
076-0485A | 0002 | 2 |
076-0585A | 0002 | 1 |
076-5271 | 0002 | 2 |
076-5721 | 0002 | 8 |
8 019 51 002 | 0037 | 2 |
8 030 44 101 | 0001 | 3 |
716L1800 | 0002 | 6 |
8 030 56 096 | 0035 | 2 |
716L1900 | 0002 | 2 |
8 039 55 064 | 0037 | 2 |
80.110.11NG | 0001 | 1 |
71915CEHC-P4A-DGA | 0002 | 1 |
71916CE/P4A/QBTA | 0002 | 15 |
7200CDGNP5 | 0002 | 8 |
7202CDBGNP5 | 0002 | 3 |
80.124.00 | 0001 | 1 |
7203DB | 0002 | 2 |
7204CTRDULP4Y | 0002 | 1 |
7206ATYDBTP5 | 0002 | 2 |
7206BYG | 0002 | 5 |
80063001 | 0001 | 1 |
800A-K2AW | 0037 | 2 |
800A-M2AC4L | 0037 | 1 |
800A-M2EG | 0037 | 5 |
800E-2X10 | 0037 | 7 |
800E-A2L | 0037 | 5 |
800EM-F2 | 0037 | 2 |
800EM-HR22 | 0037 | 1 |
Sorry this is not a finished solution, but I am a volunteer who provides free BI support in my spare time and it is now past my bed time.
Click here to download a solution
I have used Power Query to create 3 tables:-
Then joined the tables with relationships
Then created DAX measure for
This makes building reports much easier
The left visual show just items that have HQ invetory AND Local demand.
If you click on an item on left visual then the right hand visual will show the local warehouses that have the demand.
It needs tweaking for your exact requirements but I hope that this first stab helps!
I will try have a look again tomorrow in my lunch break. 😁
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