We use Google Data Studio to track company KPIs, create the company dashboard, and generate sales reports to compare sales over time.
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We use Google Data Studio to track company KPIs, create the company dashboard, and generate sales reports to compare sales over time.
The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues. Additionally, we use other relevant APIs
Google Data Studio allows you to set up notifications for dashboard changes, so you don't have to adjust the fields each time manually there's a modification.
We connected it to BigQuery tables. However, sometimes, it was slow, mainly when the tables contained a large amount of data. We constantly refreshed it every 3 hours to provide real-time data.
I have been using Google Data Studio for 2 years.
The product is stable.
Eighteen users are using this solution.
I rate the solution’s scalability a five out of ten.
Sometimes, we faced issues and contacted them via email, but their response time wasn't very good. The customer service was not particularly fast. Most of the time, the agents could resolve any issues we had.
Neutral
Google Data Studio offers a variety of features, making it much more flexible. It's not as limited as some other platforms. You can create complex visualizations and add custom elements easily. However, compared to alternatives like Tableau, it may have more restrictions regarding data series. Tableau is less user-friendly for business. Both tools have their pros and cons.
The initial setup is straightforward for the business people.
It is easy to learn and become proficient in Google Data Studio. I had prior experience with Tableau, so I watched a few YouTube tutorials to familiarize myself with Data Studio. Transitioning from one BI tool to another was relatively easy.
I recommend Google Data Studio primarily because it's free. It's a great starting point for creating visualizations and exploring data without cost. Other tools might be worth considering if you need more advanced features or support for a larger user base. Google Data Studio is free, making it accessible for anyone to start using and experimenting with.
Overall, I rate the solution a seven out of ten.
By integrating Data Studio into our services, we not only provide added value to our existing customers but also ensure stability in traffic and minimize the cost of sales. This strategic move allows us to capitalize on the opportunities presented by an installed base of customers, offering them an easily accessible and robust business intelligence solution. This proves advantageous, especially for smaller and medium-sized businesses within our clientele.
I find it favorable regarding speed of development, ease of building, and flexibility. For instance, it allows you to click on a bar chart and refresh the connected pivot table or data table. This functionality is quite convenient compared to other handcrafted solutions where you might need to implement it manually.
The potential challenge, especially when considering a larger user base, is that the expenses can significantly add up. There are issues with integration and I encountered limits and warnings, especially with my pivot table size. It could potentially incorporate more functions in the future. Another point worth mentioning is related to graphing. When you have a large dataset, say a thousand customers, the bar chart might display only the first fifty or a hundred entries, making it less user-friendly for horizontal scrolling. Ideally, it would be more intuitive to scroll all the way to the right to view the last entries.
I have been using it for two weeks.
In terms of stability, I find it to be quite solid.
I believe it should be highly scalable. I don't see any limitations on usage from that perspective. Of course, you need to set up individual dashboards for each user or ensure that all users are appropriately configured with authentication and related settings. The goal is to scale up to a few hundred to potentially one thousand users.
I find it valuable, but there is a significant difference in the level of detail and assistance provided locally, especially in Italy. The observation is that Amazon's local technical support is more hands-on and detailed in configuring solutions, possibly due to the historical lack of IT professionals in Italy.
The initial setup was straightforward.
Deployment has been straightforward, and I think anyone with basic skills can use it effectively within half an hour by following examples. I've had no major issues, and it serves as a central visualization tool. It can be completed in ten minutes.
The cost is quite affordable based on feature analysis.
I would recommend spending around a week exploring and familiarizing yourself with the various data types and templates available. A half-day of hands-on experience should give you a good understanding of the platform. Overall, I would rate it eight out of ten.
