I am a amazon internal quicksight user. We want to user quicksight dashboard as a tool to collect users’s feedback. Ex: I will provide some recommendations on certain cases through dashboard, users can use QS dashboard to input their feedbacks to my recommendations. I found a doc about Perform secure database write-backs with Amazon QuickSight: Perform secure database write-backs with Amazon QuickSight | AWS Business Intelligence Blog. Please advice if our current internal QS version is able to do it.
Hi @Cindy
as far as i know there is now QS version (the end user can see).
Also the blog is from May last year i would say there is no limitation.
I used it by myself as well.
BR
Hi @Cindy
as you have to use several services you have to make sure every service can talk to the needed one e.g. Lambda to Redshift.
But if you follow the steps and understand the concept of that approach you should build something.
Hard to tell generic areas to look at as every account is setup differently.
BR
@ErikG A follow up question about write back. We will also need to collect users info maybe like just a unique code for each of the user. So that when a same user input multiple ratings regarding the same items on the dashboard, we are able to only pick up the latest one. can you please advice if quicksight can do that?
sry, I couldn’t fully understand how does the process work. Would you please provide more clarification on this? like you mentioned to use a user dataset, but how does quicksight connect the input action with user dataset?
@Cindy were you able to figure out this problem or are you still working on this? If you were able to find a solution could you share it with the QuickSight community?
To clarify, do you want to know more about how to set up RLS and dynamic defaults?
Are you still working on this issue or were you able to find a solution?
It has been some time since we have heard from you but would still like to help you find a solution. If we do not hear from you in the next 2 business days this topic will be archived.