The primary use case of this solution is for the BI daily usage and all of the KPI for analysis.
It does many things.
The primary use case of this solution is for the BI daily usage and all of the KPI for analysis.
It does many things.
The most valuable feature is the aggregation function.
It will be good if the server could be more stable, and I would like to have the technical service to be more reliable.
I would like a better response time without having to wait for a week just to get feedback.
I have been using Tableau since 2016.
We update often and are using the latest version for both the server and the desktop.
I think currently we are suffering a lot of technical issues.
I am not sure if this is something encountered by other companies, but currently, the Tableau server is not really stable. We have many interruptions in the Big Tree.
It may not be related to the project directly, but because the server itself is not stable, it can impact everything, such as the performance.
We have more than 10 users in our company who use this solution on a daily basis.
We allow everyone in our company to use it. We don't really need to scale it. We use it as a platform to share the company's performance. It's not something that is being used by the entire company already.
Technical support needs improvement. The response time is very poor.
We have contacted technical support several times, but the response time is really slow. Sometimes, it can take up to one month to solve any issue.
Previously, we had not used another solution.
The initial setup was not straightforward. It was complex.
It was hosted within our own server. When we set up the Windows server, installed the product, and did the configuration on our end. It was complex, but not extremely complicated.
We implemented this solution in-house within the company, but the maintenance is done by the supplier, which is Tableau. They will update their products from time to time and all that we need to do is install the latest version.
It's an annual fee with everything included but it's quite expensive.
It's hosted on the Tableau server and hosted within our infrastructure and hosted in AWS.
I would recommend this solution to others with the understanding that they will not receive an instant response from Tableau technical support.
Also, because of the pricing, it may not be something suggested for a startup company.
I would rate this solution a five out of ten.
Tableau's very stable.
So far, so good.
There are two faces of Tableau. One face is Tableau partners. They are very few, and Tableau was only a subsidiary with no support and no representative in Brazil. Now they are represented.
Really, there aren't many problems with Tableau.
ClickView. ClickView seemed easy to use, very simple, but it could not support the whole company. It couldn't be scaled.
We looked at Oracle BI. It seems that it's very easy to use, very competitive against Tableau, and it's a little bit cheaper. It seems that we have a competitive advantage going with Oracle.
Oracle in the past had OBIEE that was hard to use, very expensive, and modeling was hard. Changing the modeling was difficult. We decided not to go with Oracle at that time. Now it's cloud-based, the TCO is very cheap. But we had already gone with Tableau.
We only it for the financial side of the company. We don't use it on other projects, for example, the production side, the IT of the company. Only for financial. I would say that the result is we have a lack of users, it's only part of company; we don't have a whole view of the business.
The live connection to data and publishing are the most valuable features of Tableau. You can connect to your data almost wherever it resides in a straightforward, simple connection. Your local dashboard is only one click away from being online and shareable with other users.
I have used Tableau in the last couple of companies I worked for and it helps any organization that has clients who need visualization.
It can also be very useful for internal purposes.
I would love to see some easier ways for predictive analysis or machine learning in Tableau. The only way to do it at the moment is manually and with the integration of other tools. I’m used to everything being fast and easy in Tableau and I think that can be a significant upgrade.
I have used it for four years.
I did not encounter any issues with deployment, stability or scalability. However, I would prefer an updating system within the tool instead of going to the website and downloading newer versions. Also, major updates are installed as a separate software on your PC, which can only be useful in some rare cases.
Technical support can sometime take a while to respond, but they are very helpful and friendly.
I use a lot of other tools, such as QlikView, because we deal with different clients who use different tools, so we need to have expertise in the different tools provided by the market leaders.
Initial setup is very straightforward and easy. You can install the desktop version in one click with no setup needed. As for the server version, the setup is also easy for non-technical users by following some simple step-by-step guides.
I have implemented through a vendor team and in-house. Because the implementation is easy, I would advise staying up-to-date and always using the latest releases.
ROI is strictly related to how are you using the tool. You can publish dashboards and embed them in a live website which can bring you more hits, or you can provide your users/clients access to your Tableau server, which is related to how much they are paying for that. Use your licenses wisely so they are worth the high amount you’re paying.
The most important thing that people need to know is that Tableau is ONLY a visualization tool (the best in the market). Don’t confuse it with other business intelligence, big data or data analytics tools. If you want to do fast and good looking customizable and interactive visualizations on data from one or multiple sources, Tableau is your tool.
Sales dashboards for management, which were implemented initially in v.10.2, then upgraded systematically with new releases to v.10.5.
The solution is being delivered to our customer, who appreciates the insights generated from the reports. It is easy for them to drill into the details and use interactive charts. This provides a great value-added once stepped out from the Excel tables era.
Definitely ease of use and interactivity. We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used.
We would much appreciate an option for copying/moving objects between different pages and a possibility for teamwork when working on the same dashboards.
The dashboard with graphs is this product’s most valuable feature.
Previously, we were maintaining an Excel file for graphs and tables. With Tableau, dashboards are released and we have requested employees to access the data directly from the dashboard. Also, now the process is automated, so there are no manual errors.
I feel Tableau didn't cater to each and every requirement within the team. For example, we have an SSAS cube and I don't remember that I could connect that in Tableau. Maybe in the latest version this has been taken care of.
I used it for 18 months.
I did not encounter any deployment, stability or scalability issues.
Technical support was very good. 7/10.
I had been using SSRS, but the company where I worked had started using Tableau before I joined it.
It is a nice product and quick to get started, as compared to other products and technologies.
The use is only academic, for the moment.
I've used it for six months.
No issues encountered.
No issues encountered.
No issues encountered.
I've not needed to contact them.
Technical Support:I've not needed to contact them.
It was easy to setup.
We did it in-house.
I use this solution primarily for reporting purposes but also for visualizations and dashboards.
The real value of this solution is that it makes it extremely easy to create graphs and visualizations. It has a very intuitive user interface and it's a relatively easy learning curve, so it's easy to pick up for most people. It has some great out-of-the-box features.
I'd like to see a greater ability for customization because there are certain things that are lacking in that area.
The solution is stable.
The solution is scalable.
I haven't dealt with the tech support but from what I hear they're pretty solid.
The initial setup was quite straightforward.
It's important to make sure that your data is in a good format before feeding it into the tool. It might also be worthwhile to have some sort of ETL tool to use in conjunction with Tableau, something like Alteryx or Tableau prep, because sometimes you may need to manipulate your data into a specific format to create the types of visualizations and things that you want. You might have the right data, but if it's not in the right format it might be difficult to do certain things in Tableau. My advice would be to get the ETL tool prepped and ready to go before you start pumping it into Tableau.
I rate this solution an eight out of 10.