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Hi,
I need some help building a resourcen utilization dashboard based on our D365 CRM. I am already struggeling with the basic data model. Any help and tips are appreciated, that give me a starting point how to proceed.
I want to reproduce a view that is similar to what D365 PSA yields per project. This is a table with resources in rows, and time frames (can be changed from week to month). In the cell the SUM of planned hours / effort per ressource in that time frame is shown. Something like this (red encircled numbers matter for me - the rest is not important):
The data i have available to build that analysis is a data-table which has a single line per resource/task combination. Including a start date, end date and a total of hours for that task:
How can i build such a visualization? Should I transform my data - and how?
My biggest issue is to convert that total hour number into a 'hours per week' format and then show the sum for a month ...
Thanks.
Solved! Go to Solution.
Hi @LtKvasir ,
I'm a little confused about your needs, Could you please explain them further? It would be good to provide a screenshot of the results you are expecting and desensitized example data.
Thanks for your efforts & time in advance.
Best regards,
Community Support Team_ Binbin Yu
Hi @Anonymous and thanks for your reply. Sorry for not being very clear.
I find it difficult to explain the problem.
I do have data from D365 PSO that is in a model like shown below. Each row has a resource and a task name, a start and end date as well as a field for hours that the task needs.
Task | Resource | Start | End | Hours |
A | Martin | 01.10.2022 | 01.11.2022 | 10 |
B | Martin | 01.10.2022 | 01.01.2023 | 60 |
B | Fred | 01.10.2022 | 01.01.2023 | 60 |
C | Fred | 01.12.2022 | 01.01.2023 | 5 |
As an output i eventually need an overview of hours needed per resource and month. Something like the table below (which i will use for other visuals too - but i am sure to handle that part):
October | November | December | Jan | |
Martin | 30 | 20 | 20 | 0 |
Fred | 20 | 20 | 25 | 0 |
My question is, how can i best transform the data to get the results needed? Do I need to transform it at all, or can i use some clever filtering/aggregation?
Thanks.
Hi @LtKvasir ,
Could you please provide some calculate logic about you needs? This is very useful for me.
Thanks for your efforts & time in advance.
Best regards,
Community Support Team_ Binbin Yu
Hi,
thanks for the reply. I am not quite sure, what you mean by calculate logic.
However, I think I found something to try in the meantime. I'll expand the rows to 1 row per day within the time intervall and than use that data to do the analysis. I had hoped there would be a more elegant way, but it will work i guess.
Thanks for your effort.
Hi @LtKvasir ,
I'm a little confused about your needs, Could you please explain them further? It would be good to provide a screenshot of the results you are expecting and desensitized example data.
Thanks for your efforts & time in advance.
Best regards,
Community Support Team_ Binbin Yu
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