Tableau is a great BI-tool, that allows you to create impressive complex visualizations and has an interesting approach to displaying data. Not only can you use ready-made chart templates, but also experiment by combining the color/shape/size and location of elements on the sheet, creating complex compositions.

Tableau has a free version - Tableau Public, which has several restrictions and allows you to save your work only on a public cloud. But in the open galleries of Tableau, you can view impressive works and even download and see how they work.

Power BI is a convenient and simple BI-tool, that allows you to create great corporate dashboards, it has a useful instrument for converting data. It has a lot of ready-made templates for diagrams, and a platform where you can download custom visualizations. For those who are good at excel, it will be easy to get used to this program.

Power BI has a free version that has some limitations, but allows you to make full-fledged dashboards, save files to your computer, work in a cloud environment, or publish dashboards on the Internet.

QlikView and QlikSense are tools with powerful functionality for working with data. The first product has a slightly higher entry threshold, it is the tool for real IT professionals! While the second one - the newer product of the same company - has already been made more modern and intuitive for the users. But under the hood there is still the same beast!

I have not been able to work closely with these tools yet, but I'm looking forward to it!

Python
We are moving from BI tools to programming languages that are used to create high-quality visualizations. Python uses several libraries for this purpose: Matplotlib, Seaborn, Ggplot, Bokeh, Plotly, and others!

Python is a very popular programming language that continues to delight programmers around the world. Perhaps the functionality of its libraries will not allow you to easily create interactive masterpieces of data art, but it for sure will allow you to make the necessary graphics for data analysis with a few lines of code.

R is a programming language for statistical data processing and working with graphics, it is a free and open source computing environment. If you are engaged in data analysis, love statistics or scientific research, this language is probably in your toolkit. In terms of visualization functionality, R has a lot in common with Python, so it's a matter of taste and habit which language you choose. I don't have any experience with R, so I can't tell you more.

JavaScript D3
Complex, beautiful interactive visualizations on the Internet are often created in JavaScript. This programming language also has several libraries for data visualization. But the most complex and rich is D3. working with objects in this library is quite complex and unintuitive, and there are not many training materials for it. But the possibilities of this library are great! Another thing is that you shouldn't immediately start studying D3. First, look at other JS libraries for visualization - perhaps their functionality will be enough for your tasks. For example, Chart.js or Plotly.js are quite suitable for building charts.

MS Excel – is a well-known MicroSoft product. It can display data not only in the form of tables. If you have the time and ingenuity, then making charts or even a beautiful, informative, and easily updated dashboard in Excel is not a problem! Of course, visualization tools in Excel are limited, but they have all the basic functionality, and a few tricks, that allow you to simulate more complex charts.
So, this tool has enough capability for corporate reporting, even if it is not so good in visualization as Power BI.
But for his age, he's quite a good!

Grafana
If you need to display real-time data and changes of data very quickly, then consider Grafana. This is a convenient and interesting tool for data visualization. Its functionality is not as broad as that of BI-tools or programming languages, but it copes with its tasks perfectly! Besides, it's free and open source. So, if you need to display the state of hardware or some continuous processes, Grafana can be a good fit for you.

Flourish is a web service for visualizing data in the form of interactive graphs, available to ordinary users without technical knowledge. It is perfect for journalists and those who need to create one-time visualizations. I only have a general idea of how to work with this product, but the interactive visualizations made in Flourish make a pleasant impression. I have never heard of it being used for corporate Analytics, but many social and competitive works on the Internet are done on Flourish.

Fine BI is a browser-based product but requires running on localhost. Practicing with it for free won't be easy, but if you manage to get a login and password, you'll be able to explore this package thoroughly. Its interface resembles Tableau, but some features are very similar to Power BI! Therefore, the product looks familiar, and working with it is not difficult. There are some limitations in visual settings. However, there are many pre-prepared charts for application. It can do all sorts of "fancy and impressive" things, but configuring a chart according to all of Tufte's principles might be challenging. Nevertheless, it is still a functional and understandable product (with a huge manual in English on how to create any chart!).