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Hello,
I have a set of 4 reports with 1 dataset as a source. Data is refreshed twice a day. From time to time the original source is corrupted and reports show incorrect data.
Is there any way to handle this risk? Solutions like pop-up messages, notifications or temporary turning off reports should do the job, but I can't find anything convenient. This could be manually triggered.
Thanks, Kamil
Solved! Go to Solution.
Hi. You can build a custom solution for something like this. The only requirement would be if you know how to logically detect when the data is incorrect. Once you capture that, you can show it in different ways. Examples:
- A transparent card. Create a message that shows a text on the report when the issue is there: https://blog.ladataweb.com.ar/post/631231479177936896/powerbi-creando-mensajes-de-aviso-o-alerta
- A measure showing a random number bigger than 0 when the logic finds incorrect data. You can later add that to a card in a dashboard to create with automate mail alerts: https://blog.ladataweb.com.ar/post/622353040877420544/powerbipowerautomate-envía-mails-de-tus
You can be creative and find another solution. There might be a few more to create once you know the logic that shows if the data is incorrect.
I hope that helps,
Happy to help!
Hi. You can build a custom solution for something like this. The only requirement would be if you know how to logically detect when the data is incorrect. Once you capture that, you can show it in different ways. Examples:
- A transparent card. Create a message that shows a text on the report when the issue is there: https://blog.ladataweb.com.ar/post/631231479177936896/powerbi-creando-mensajes-de-aviso-o-alerta
- A measure showing a random number bigger than 0 when the logic finds incorrect data. You can later add that to a card in a dashboard to create with automate mail alerts: https://blog.ladataweb.com.ar/post/622353040877420544/powerbipowerautomate-envía-mails-de-tus
You can be creative and find another solution. There might be a few more to create once you know the logic that shows if the data is incorrect.
I hope that helps,
Happy to help!
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