I know this practice for a long time, and I haven't used a lot until a month ago when a user helped me understand the importance of explaining the blank for their experience. Usually when I use to had blank visual, I didn't do anything about it because I was assuming it was obvious. If you filter data and the visual stays blank, it's because you don't have something the see there.

It sounds obvious but many people not related with Bi tools assume there is a failure or issue with the development, and they don't think about a data issue. That's one of many reasons why we need to know this practice of showing a message explaining different situations when that happen. Let's help the users experience and issues perceptions. At the end of the post, we might have even more ideas to develop.