Looker Studio is great for free, simple Google-centric dashboards, while Power BI offers strong Microsoft integration, AI, and deep data prep (Power Query/DAX) for corporate users. Tableau excels in advanced visual exploration for complex data, though often much pricier. Fullst…
We have evaluated Power BI, Looker Studio, and Tableau for a short period. Looker Studio is easy to deploy and helpful for creating quick reports. However, for better performance, scale, and deeper analysis, we found Power BI.
A huge amount of backend data that you don't have access to via social media performance tracking platforms themselves. Opens the door to a better understanding of onward journeys from digital channels, and deeper knowledge of user behaviour and audience experience.
Looker Studio is easy to use and provides sufficient capabilities for setting up basic reporting. It's especially good for a marketing environment. We also use other tools for complex reporting, but when it comes to value for money, Looker Studio is one of the best BI tools on …
Very good imo, and really cost-effective. With Salesforce, there is too much stubbornness when importing data from Microsoft suite applications, and Power BI is really expensive for a mid-sized organisation. Hence, I feel Looker Studio is actually worth the investment for …
The main reason why Looker Studio was selected is because it was already integrated into the google ecosystem. But it actually once you start working with it, is really easy to get into. For really complex reports you will have to focus in building a good model in the database …
I liked Tableau, but it is a bit pricey, also there is no option to share the report online unless you add the team members. If your research is not really big and difficult, using Looker Studio is more practical and easy. I think it is very important to estimate how big and …
Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. …
The free version of Looker Studio is still better than the leading enterprise-embedded BI tools, despite its weaknesses. The leading embedded BI platforms have terrible visualizations that can be spotted a mile away. They are also primarily locked to a grid, making it very hard …
Google Data Studio integrates data into visually appealing reports and can constantly update based on the linked data source (i.e., Google Analytics), a feature that neither of the platforms listed can do. However, sometimes Google Data Studio can't generate graphs based on my …
We selected Google Data Studio because it is easier to make connections with third-party data sources. Also Google Data Studio can understand connections between different tables and databases better that its competitors such as Power BI. Compared to Power BI you do not need to …
In comparison to Kibana , its much easier and being free its worth a lot. Apart from that it has flexibility of connecting to more than 300 connectors, which is not there in Kibana. Apart from that no doubt its much better that in terms of visualization of Data, analytics etc.
Data Studio is the
first step in your data visualization journey, as your data gets bigger and
your need for information grows you will have to move to something more powerful,
Google Data Studio is a Google product and many other companies also use Google Suite (as Gmail), so it was easier to share reports to clients using it than Zoho Analytics (which needs a paid account to give access to any other user).
Google holds it's own against these competitors as they each have their own strengths and weaknesses. While Tableau provides user-interactive reporting, its formatting options can be quickly rigid and frustrating.
Google Data Studio provides a great feature set considering its price point, especially when compared to commercial options from Microsoft and Tableau. While it may not be as versatile when it comes to working with and developing complex datasets, there is enough charm in its …
Google Data Studio is much more intuitive to pick up and start using immediately. There was very little need for formal training or onboarding to start using the tool quickly. Power BI was much more difficult to start using.
The formatting in GDS is also very customizable, and …
Google Analytics and Google Data studio work well with each other. They don't necessarily stack against each other, Google Data studio just makes interpreting the data more visual and concise. I recommend both and not one over the other. Both are free tools provided by Google, …
Google Data Studio is free, easily integrates with the Google Marketing Platform, and is simple to use. It's a better choice for most basic marketing reporting. Tableau is better for more BI and exploratory data analysis.
Obviously, Google Data Studio is an improvement over Google Charts, which I believe powers the chart modules used in Data Studio. I think of Data Studio as a convenient way to combine multiple Google Charts in one, easy-to-read report.
Visualizing cross-channel campaign performance can blend data from a few different sources to compare performance metrics like spend, clicks, and conversions side-by-side in a single view, which helps in quick budget reallocation decisions. When dealing with massive volumes of data (millions of rows) or highly complex queries, Looker Studio dashboards can become slow, laggy, or even crash. Performance issues are a frequent complaint when working with large datasets, making it unsuitable for enterprise-level companies
Breath of data - the number of ways to interrogate the data is endless, and the options to view metrics alongside each other make for comprehensive datasets.
Data visualisation and customisation - the options for presenting data and separating out across pages allow for clean visuals and segmented information.
Easy shareability/usability - a quick and simple tool to introduce colleagues to, and easy to grant access for them to be able to view the data, without having to understand the setup itself.
It needs better handling of complex logic. We often need workarounds to perform complex custom calculations, and it can be really unpleasant at times.
Felt it got slow with a larger data set, and in one minor report, we had to set up time filters so that calculations during spikes could be traced more quickly.
Compare to competition they need to improve with notification things.
It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
Looker Studio is easy to use, and it offers a sufficient variety of predefined visualizations to choose from. It's easy for us, and anyone can set up basic reporting without extensive data visualization skills. The interface layout is easy to understand, and it doesn't take long to get used to.
I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. Furthermore, since it is an online program/tool, it requires less CPU/battery/storage on the user's device.