Dear all,
I am pretty new to Power BI. I have done a few courses, but more complex DAX expressions are still difficult to me. Hence my cry for help.
I work in container logistics and I am trying to create a dashboard that displays the longevity of my current stock (as in for how long do I still have stock at every location).
I have 2 seperate tables. The first one looks a bit like this:
"Depot Stock"
Depot | Container Type |
A | 20DV |
A | 40DV |
B | 20DV |
B | 40HC |
B | 40DV |
C | 40HC |
C | 40DV |
C | 40HC |
C | 20DV |
Column "Depot' represents the different physical locations we have throughout Europe. Column "Container Type" represents the amount of different stock is present per depot, every Container type represents 1 Container (so types are present multiple times per depot). For this one I need to calculate how many total stock there is per "Depot", per ctr type, by counting the ctr types.
The second one looks like this:
"Depot Releases"
Stock | Container Type | Qty |
A | 20DV | 1 |
A | 20DV | 4 |
A | 40DV | 1 |
A | 40HC | 1 |
A | 40HC | 1 |
B | 20DV | 3 |
B | 40DV | 1 |
B | 20DV | 1 |
B | 40HC | 2 |
B | 40HC | 1 |
C | 20DV | 1 |
C | 20DV | 2 |
C | 20DV | 1 |
This represents the amount of stock that has already been booked out for the upcoming week, per depot, per container type.
Same exercise as above: Count the amount of total releases per depot per ctr type.
The eventual goal is to Divide the Total current stock with the Total released stock to come; which will tell me how many weeks worth of stock we still have (a release is valid for one week, just saying to make sense out of my thinking).
In reality the list is thousands of lines long as we handle 100+ depots all over Europe, each depot containing hundreds of containers.
Thanks for your advice
Solved! Go to Solution.
I was clearly overcomplicating things for myself 😉 I tip my hat to you good sir, thanks!
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