Google Data Studio

The most impactful features of DataStudio are the wide range of visualizations you have access to in order to present your data in the most engaging and insightful way. Coupled with the wide range of data connectors that are available natively and also third-party connectors, which expands the scope widely.
Once you have understood the overall way of working, the tool is very easy to use. There are lots of training videos available and lots of support available over the internet, in case you get stuck.
Integration into my business practises was easy because of the flexibility in data input sources. If a specific connector does not exist, then you can always fall back on file imports.

The most important missing feature for me personally is a native (free) data connector to Facebook Ads. One has free access to all the Google platforms and I have a constant struggle to get a decent data connector to Facebook ad platform data.
One improvement that I suggest is to add the functionality to do processing on calculated fields to do for instance 7-day moving average calculations on the platform itself. Now I have to do those calculations on a Google Sheet first and then import the results into the DataStudo reports. Or even make that a built-in function?

Google Data Studio provides a great option for creating dashboards that present your basic data, particularly if that data resides in a Google tool (Analytics, Analytics360, even Google Sheets, etc.) The learning curve for this tool is not extensive before you are ready to build dashboards and reports. The template library is useful to learn what ways you can style your data.

With any data tool there is a learning curve, and the documentation provided by Google is not extensive. Fortunately there is a large offering of YouTube user generated content that covers almost every possible question you may have to get the desired result out of the platform, making it one of easiest Data Visualization tools to learn and get current information.

It seems that every third party SaaS that collects data online has native synchronization support for Google sheets. And this is how Google Data Studio makes itself the best option for non profits and small businesses in need of automated business intelligence.

On top of the plug'n'play integration experience, data studio has a unique approach to interactive chart and dashboard design that lets you position elements as if you were working in Adobe Photoshop. You can add shapes, layer elements on top of each other, add text or objects anywhere. This means you can produce the most beautiful and intuitive dashboards and reports ever (or the least if you're more of a Picasso).

It really is the poor man's business intelligence automation tool. Some key setbacks for data scientists is that data studio can only do 1 type of join/blend (outter left) and when using blended data to create calculated fields it really feel more like art than science, and not always working out. There is also no way to create unions across all data sources or make a file directory a data source.

All this means that you really need to do a lot of data prep in Google sheets and find a way to do some automatic data blending in Google sheets as well in some cases. This will keep the complexity of your needs in Data Studio minimal, which seems to work best.

Once it's build your data sources, it's easy to build your dashboards even they don't have the best data viz options. It's in the Google tech stack, that makes easy to your team keep running. Would like to have Microsoft Power BI? It was my concerto too! But yes, Google Data Studio will deliver all info you need in a beautiful interface - don't worry. Good price, clear and light interface, access from any device. Your data project will meet the needs.

Different from Microsoft Power BI for example, you don't have a on screen calculation, easy to work on. Many times you need to create new fields, build cases with calculations to have the field to use on. You need an administrator/builder with more tech skills. But any doubt that I found, I had case or example in the web to search and use. But once it's build the base, it's easy to build dashboards, deploy, upgrade and so one.