Usecases, which involve predictions and modells in general are sth where R is very good at, so, depending on the usecase and the infrastructure, this might be a good usecase for shiny. However, since one can easily embed R in other software (and most of the relevant BI products do) there are many known ways, to handle predictions and other features of R within those products mentioned above. However, these integrations almost always have limitations and it is really up to the usecase and the alternatives, if it makes sense to switch (often just for one very exotic edgecase) to another product. In my case, I mostly develop sth in R, share it via flexdashboard and when the story lives, we embed it in some other technology, because we have more expertise there (we are not specialised on shiny or use RStudioConnect, so these might also be good alternatives sometimes).