It allows data-scientists to easily deploy in-house data-apps. And by using the Juypter notebook, you get the GUI for free as well and automatic support for many many ML and numerical libraries (assuming Python)

So for example if a sales team gather data, and there is a data-transform thats done all the time by hand, or feeding new data to an ML model, an internal app would save time, and Jupyter dashboards have the potential to make this really easy.