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Hi,
Would someone be able to kindly help me with this problem
I have a data table which contains the created date and completion date of a unique work order
I need to look back over time and report on the status of the work basket at a particular point in time
I have supplied a snapshot of dummy data I created in Excel
Work Order Number | Created Date | Actual End | Time to Complete |
12 | 15/08/2019 | 21/08/2019 | 6 |
123 | 15/08/2019 | ||
234 | 16/08/2019 | 19/08/2019 | 3 |
345 | 16/08/2019 | ||
456 | 16/08/2019 | 03/09/2019 | 18 |
567 | 16/08/2019 | ||
678 | 16/08/2019 | 20/08/2019 | 4 |
789 | 16/08/2019 | 21/08/2019 | 5 |
900 | 16/08/2019 | 20/09/2019 | 35 |
1011 | 16/08/2019 | 20/08/2019 | 4 |
1122 | 16/08/2019 | 20/08/2019 | 4 |
1233 | 16/08/2019 | 19/08/2019 | 3 |
1344 | 02/09/2019 | 04/09/2019 | 2 |
1455 | 02/09/2019 | ||
1566 | 02/09/2019 | 02/09/2019 | 0 |
1677 | 02/09/2019 | 03/09/2019 | 1 |
1788 | 03/09/2019 | 05/09/2019 | 2 |
1899 | 03/09/2019 | ||
2010 | 03/09/2019 | 09/09/2019 | 6 |
2121 | 03/09/2019 | 06/09/2019 | 3 |
2232 | 03/09/2019 | 18/09/2019 | 15 |
2343 | 03/09/2019 | ||
2454 | 03/09/2019 | 03/09/2019 | 0 |
2565 | 03/09/2019 |
I need to able to show the following for each month
For August 19:
Count the number of orders not completed before month end (ignore any completed >01/09/19)
The average cycle time of all the orders that were completed before month end
For Sept
This will now become a cumulative number and include all the orders released in August as well
Count the total number of orders not completed before month end (ignore any completed >01/10/19)
The average cycle time of all the orders that were completed before month end
Expected Result
August | Sept | |
No of Oustanding Jobs | 4 | 7 |
Average Cycle time | 7.25 | 15.8571429 |
Many Thanks
Hi KG1,
If possible, could you please explain the logic to me? Count the number of orders not completed before month end in Augest should be 3
In addition, I want to know how you calculate the Average Cycle time? could you please explain to me?
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Zoe
Thank you for taking the time to resond
Apologies - yes you are right it should be 3 orders not completed for August
The cycle time is calcuated by totalling the time to complete and dividing by the total number of orders
Many Thanks
Hi KG1
I am still can't get the average result like you, so if possible, could you please write the expression for me. You could refer to my sample.
In addition , if possible, could you please inform me more detailed information for your second problem? Then I will help you more correctly.
Please do mask sensitive data before uploading.
Thanks for your understanding and support.
Best Regards,
Zoe Zhi
If this post helps, then please consider Accept it as the solution to help the other members find i
So my work so far
I have created 2 new columns for the created date and actual end date which extracts the Month
Completed Month = Format([Actual End].[Month],"MMM")
I have exported this data into Excel to try and work out the formula for the table visual
I have 2 tables 1. Total Orders Created 2. Total Orders Completed
Month | Total Orders Created |
August | 1291 |
September | 1784 |
Grand Total | 3075 |
Month | Total Orders Completed |
August | 479 |
September | 1921 |
Outstanding | |
Grand Total | 2400 |
The output table would be
August Work Basket | 812 |
September Work Basket | 675 |
August Formula = 1291-479 = 812
Sept Formula = (1784+812)-1921 = 675
How do I replicate this in PowerBI?
Or have I gone about this totally the wrong way?
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