We’ve been trying to configure some standard dashboards for users in each of the 30 districts but have come to realize that the user orgunit that can be saved for the favorite refers to the orgunits that data entry staff are assigned for visualization, not the orgunits they are assigned for data entry.
This is problematic since we want people to be able to see data across the country and compare their performance with other districts so we have assigned the data visualization orgunits to level 1 - national.
In our use case it would make more sense to assign the userorgunit for data entry as the one that is used for data entry. Would it be possible to change this - or to give us the option of setting user orgunit to one or the other?
In the current scenario, I we are going to have to create new analysis objects for each of our 30 districts and 42 district hospitals (maps, charts, pivot tables) so that they can be filtered for their orgunit levels. I’m trying to script this process in R, but it is a labor of love.
Anyone else have a workaround?
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Randy Wilson
*Team Leader: *Knowledge Management, Data Use and Research
No known workaround as far as I know at this point.
Regards,
Jason
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On Mon, Aug 14, 2017 at 2:57 PM, Wilson, Randy rwilson@msh.org wrote:
We’ve been trying to configure some standard dashboards for users in each of the 30 districts but have come to realize that the user orgunit that can be saved for the favorite refers to the orgunits that data entry staff are assigned for visualization, not the orgunits they are assigned for data entry.
This is problematic since we want people to be able to see data across the country and compare their performance with other districts so we have assigned the data visualization orgunits to level 1 - national.
In our use case it would make more sense to assign the userorgunit for data entry as the one that is used for data entry. Would it be possible to change this - or to give us the option of setting user orgunit to one or the other?
In the current scenario, I we are going to have to create new analysis objects for each of our 30 districts and 42 district hospitals (maps, charts, pivot tables) so that they can be filtered for their orgunit levels. I’m trying to script this process in R, but it is a labor of love.
Anyone else have a workaround?
– Randy Wilson
*Team Leader: *Knowledge Management, Data Use and Research
This message and its attachments are confidential and solely for the intended recipients. If received in error, please delete them and notify the sender via reply e-mail immediately.
This message and its attachments are confidential and solely for the intended recipients. If received in error, please delete them and notify the sender via reply e-mail immediately.
No known workaround as far as I know at this point.
Regards,
Jason
–
On Mon, Aug 14, 2017 at 2:57 PM, Wilson, Randy rwilson@msh.org wrote:
We’ve been trying to configure some standard dashboards for users in each of the 30 districts but have come to realize that the user orgunit that can be saved for the favorite refers to the orgunits that data entry staff are assigned for visualization, not the orgunits they are assigned for data entry.
This is problematic since we want people to be able to see data across the country and compare their performance with other districts so we have assigned the data visualization orgunits to level 1 - national.
In our use case it would make more sense to assign the userorgunit for data entry as the one that is used for data entry. Would it be possible to change this - or to give us the option of setting user orgunit to one or the other?
In the current scenario, I we are going to have to create new analysis objects for each of our 30 districts and 42 district hospitals (maps, charts, pivot tables) so that they can be filtered for their orgunit levels. I’m trying to script this process in R, but it is a labor of love.
Anyone else have a workaround?
– Randy Wilson
*Team Leader: *Knowledge Management, Data Use and Research
This message and its attachments are confidential and solely for the intended recipients. If received in error, please delete them and notify the sender via reply e-mail immediately.