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Right here is my sample data.
Name Area KPI1 KPI1 Date KPI2 KPI2 Date
| a | London | Completed | 11/03/2021 | Completed | 01/03/2021 |
| b | Manchester | 25/02/2021 | Completed | 01/03/2021 | |
| c | Chester | Completed | 01/03/2021 | Completed | 11/03/2021 |
| d | Leeds | 25/02/2021 | 03/02/2021 | ||
| e | London | Completed | 01/03/2021 | 03/02/2021 | |
| f | Chester | Completed | 11/03/2021 | Completed | 12/02/2021 |
| g | Leeds | Completed | 11/03/2021 | Completed | 12/03/2021 |
| h | Glasglow | 01/01/2021 | Completed | 05/01/2021 |
Without creating multiple tables for each KPI, I need to find a solution that will allow me to filter the count of KPI's completed by their corresponding date. For example: If I filter the highlighted below KPI 1 date for all outputs before the 11th of Match, I don't want to lose KPI2 output or vice versa.
I can achieve this by creating multiple tables for each KPI but it's not a great solution for me.
Any advice would be appreciated.
Karlos.
Hi @Anonymous ,
You can use date table in your model and have a direct active with KPI1 date and inactive relationship with KPI2 date.
Then use slicer as date from your date table (it's a must for PBI model). Then just create 2 measures where you can count KPI1 and KPI2.
Thanks,
Ankit
Hey Thanks for the reply,
That's actually the direction I've taken it, however, because both measures are in the same table, once I slice either KPI1 by KPI 1 date it will alter KPI 2 and vice versa. It would be fine if I had the measures outside of the same table but for the solution, I'm working with, that's not possible.
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