Visualization for most of those working in either data analyzation or data science fields are not using the visualization as the final conclusion. It's just one piece of the bigger pie, but a important piece because it's easier to communicate with pictures than raw data.
For example, visualization in our data science department (the one I work with exclusively), uses visualization to help tell a story. Some important considerations are used with that story that reflect: what the data is telling us, how you should feel, and most importantly, what recommended actions you should take. This all requires a story where insights are unearthed, methodologies are explained on how we got to these conclusions, and of course, visualizations to help communicate everything in between.
The interesting thing though. Most of the enterprise tools out there like Tableau, MicroStrategy and even PowerBI have not touched the power of what the language based modules/libraries can do with R, Python and SAS. While they require much more scripting/programming, the customization you can achieve with Matplotlib, Seaborn and more is insanely good for creating immersive visualization pieces that drive the overall story home.