Tableau Reviews

It has ease-of-use features that make it a good data discovery tool for use with our clients. Additionally, the ability to rapidly mine data and visualize data issues for clients is valuable.

We can use this tool with our internal data as well as on client sites to rapidly evaluate data sets and gain understanding of patterns rapidly.

The integration of multiple data sources has sometimes been difficult and the size limitations are sometimes an issue.

We have been evaluating this product for approximately six months now.

No issues encountered.

No issues encountered.

We are very early in our project but do not see any major limits yet.

Customer service has been excellent.

Technical support is very good.

No previous solution was in place.

The connections to the SQL data and flat files were straightforward.

Implementation was all done in-house.

Unknown at this time.

• Tableau
• PowerPivot/PowerBI
• Birst
• Sisense

1. Understand your business hierarchies intimately.

2. Create flattened data files for roll-ups.

3. Be prepared to clean and process data prior to use.

1. Data Blending - the ability to blend data from multiple data sources to create the report that is needed.

2. Quick and meaningful visualizations - Tableau's drag and drop features provide on the fly reports that often don't take more than a minute to create.

3. Tableau Server Subscriptions - Gives end users the ability to quickly subscribe to a dashboard.

4. Awesome support! - The Tableau help-desk and server support teams are out of this world. Have a question, shoot them an email and get a response quickly. They also have a phenomonal website (tableausoftware.com) with traning videos, a knowldge base, and plently of Tableau experts to help work through calculations and dashboard building.

We no longer need to rely on certified report creators to create reports and dashboards. Just connect to data and start building. Plently of free training availble online at tableausoftware.com for first-time users. Allows for independancy from IT.

The tool is not perfect, but with each release issues are getting resolved and performance is getting better. There is an awesome "Ideas" page on their website that allows users to submit ideas for improvement and vote on ideas that they would like to see added into any of the Tableau products. Tableau does a great job of moving these ideas from conception to reality.

3 years

No

No

No

Outstanding!

Outstanding!

Our company used Cognos Planner and a few other BI solutions before. Tableau is less expensive and easier to use. An easy choice to make the switch.

Pretty straightforward. Tableau gives great instructions. My only complaint is that they make assumptions on how your company handles security ceritifcates when using SAML. It took us some time to work though SAML configuration, but once we passed this hurdle, everything else was easy to put in place.

The intial server setup was done with an in-house team. When we expended our environment, we brought a vendor in to make sure we were implementing everything occurding to our business needs. The vendor, recommmended by Tableau, was professional and we were able to get the job done quickly.

There are many use cases and many projects. I have done level cost-based analysis and forecasting. I have also created one dashboard for their risk measurement.

The most valuable feature is the analytics part. You can use simple reporting by using the analytics by businesses and stakeholders, giving insight into that particular information. It also has data cleaning. It saved a lot of time for the application.

Every time, they create a new version of Tableau. We need to update that version and create a new EXE file. Any visualization tool should have one particular application that only needs to be updated rather than creating version one, like 2024.1.2. You can see many versions in Tableau. We are using this number of versions only because of the latest update. Having the latest update in the same application rather than creating multiple versions would be good.

Some features are not enabled in Tableau. We can use the measure or Python to use that. Every company or every person has its own requirement in Tableau. Suppose I am using an in-date format. I'm extracting data from my data source in some other format. At the same time, businesses want to view this information in different formats. I have to customize the data format. If possible, you and your team can work on the date format in the world. There are multiple data formats or data get views available in the report. You can also accommodate in the gate feature.

I have been using Tableau for almost five to six years.

Tableau is scalable software. Almost 500 people within my department are using this solution.

During COVID-19, I had a few issues. Our support team didn't support it. We requested to the Tableau team, and that person helped us. Sometimes, they have a good way. They have excellent knowledge, but sometimes, when you provide your source to a third party, they don't support us technically. 

Neutral

The initial setup of desktop application is straightforward. We can also creat,e athe  project and tha e end user can also create their own project, and later on, if needed, the support team can help us with that.

It takes ten working days minimum to complete creating dashboard and setup server. We are using dev and production environment. Some are also using a testing environment based on their requirement and discussion with the business.

Multiple team is responsible for their activities. At least five to six people are required  for deployment because someone is creating a dashboard and some person has their knowledge at server level. Also, some person needs to have their permission management.

I was not able to connect Tableau with SharePoint online. Microsoft Power BI can be connected with SharePoint easily online. It has many more facilities than the Tableau application.

The daily reporting or data analysis has seen many improvements with Tableau. We can manage the users accordingly while doing the drag-and-drop interface for that application. I can do Python and use Python Tableau language, which creates a lot of differences.

I have never faced any issues with data integration. Before COVID era, I was using SAP HANA. I could use it very frequently and use the data set accordingly.

I have never faced any such issues. It is a very good application. There are many more application which are also very good and very user friendly, but Tableau is also one of them. We have a direct live collection. Even business users share experience while connecting the live. They feel some hindrance while using this application when they refer us or when they filter the data. You can see the delay response in the page.

Tableau is a good application. I created any dashboard for the business, and business want to view their information. They like that application, and they are able to on this side, what purpose they wanted to develop this dashboard.

I recommend Tableau. There are many BI application. Tableau is one of them, as I I use it.

If the user want to view information, it would be go with their line. It is simple to understand, and take decision based on their information. It would be very good to have on comparison heat map or the pie chart.

Overall, I rate the solution a nine out of ten.

We use Tableau, to retract, and for visualizing data.

I primarily use it at my company, but I do some implementation as well, with a teammate.

Tableau is used to visualize analyzed data for our customers.

From my perspective, it enables clients to better understand our data and make better decisions based on that information.

I would look at Tableau's security and performance. I take a long time to process the hundreds of thousands or millions of records that must be processed every day. I am hoping that it can be improved very soon.

I have been working with Tableau for the last three years.

Tableau is a stable product.

I would say that the technical support is adequate. We are unsatisfied with the support because every time we have a new problem, it will go to tier 1, and the tier 1 will take several days to reply to us, and then the result is not very satisfying, as we are still stuck with the problem. It is then escalated to tier 2, or sometimes tier 3, which can take about two or three weeks, as an estimated length.

Definitely, technical support could be improved.

In a previous company, I worked with IBM Cognos to focus on data, for instruction saving and loading that data in a very efficient way.

I also use other types of data extraction, such as Vanilla. It's a new software from France that is being used by a number of non-government organizations to restore data.

The initial setup is quite complex.

We completed the setup ourselves.

I recommend that they install it using a virtual machine or Docker first, as they may encounter issues with other projects if they are running on the same server.

I would rate Tableau an eight out of ten.

We use the solution for multiple functions internally, mainly for finance, accounting, and the operations team.

I have found many of the self-service features valuable. One tool allows anyone within the business to create their own dashboards. However, their data has to be prepared properly. Everything is user-friendly, and the visualizations are high quality and esthetically pleasing. Additionally, there is a tool that enables not just the developers, but even the end business users to create jobs for them.

The process of embedding the dashboards on external portals and websites could be improved. We also experienced challenges with integration with analytics.

In an upcoming release, if the capabilities of Tableau Prep are improvised and expanded, that would be an added advantage.

I have been using the solution for one year.

We have found the solution to be stable and reliable.

We have increased the number of users when we develop more dashboards for the new departments. We did not face challenges when we increased the number of users. We have approximately 50 users using the solution in my organization.

We are planning to increase the usage of the solution. We are doing internal training to help our employees because a lot of people do not know how to use it properly. This has caused a bit of an expansion problem.

The technical support is good.

The initial installation was straightforward. The deployment took approximately three months, this included the development of dashboards and customizations.

There is a license for this solution and we pay on an annual basis.

We did evaluate other options before we choose this solution.

My advice to those wanting to implement the solution would be, if you are looking for ETL heavy tools, this may not be the right choice. However, if you want beautiful visualizations and getting insights from data at high speed. This would be a good solution for that focus.

I rate Tableau an eight out of ten.

I primarily use the solution for data visualizations. For example, for analysis in my job, you can use a cloud of words and data with zip codes that you can then use to pull up maps. It's very powerful. You can use also use it to create tables and data frames. You can cross-reference a lot of variables. 

I just used the product to review data and for data visualization. For example, I was studying the numbers surrounding COVID-19. We were cross-referencing zip codes and data of infection in Brazil, and we are creating an assessment of regions in Sao Paulo state as COVID-19 was growing, so that we could suggest political actions to mitigate the risk of contamination.

It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent.

It's extremely user-friendly. You can cross a lot of variables. It's much easier, for example, than Excel.

I'm not sure if the solution needs any improvements. It's the best solution we have here right now.

The pricing is high. I'm using a student license, however, I know that even this license is very expensive. I've tried to have this product in our organization, however, it's quite expensive. We don't have the internal budget.

If you're looking for other kinds of data, for example, non-structured data, they could make it much easier to use this kind of data. Tableau could create other features just for data visualization and non-structured data. It's a beautiful solution when you've got frames and tables. It's structured. However, if you don't have this kind of information on the data, it's quite difficult to use Tableau. I would say that if you have any feature that opens the opportunity to work with non-structured data, it would be excellent. For example, we do end up creating a lot of word clouds. With unstructured data it just doesn't translate quite right.

If you could use non-structured data to count the frequency of important words to find which word is more important, for example, that would be useful. I don't see Tableau doing this - counting the frequency of important words in a specific kind of text. 

It would also be great if there was statistical modeling for non-structured data.

I've been using the solution for more than six months. It's been less than a year.

I don't work with large amounts of data. I don't have millions of data points. In terms of how I use the product, I've never had issues with stability.

It the solution was better with non-structured data, its scalability might be very good.

I just have the student license for myself. There aren't a large number of people in our company that use it.

I've never had a reason to contact technical support. Having never dealt with them, I can't speak to their level of knowledge or responsiveness. It's so simple to create my own account and use it, I've never had a reason to reach out.

The initial setup isn't too complex. The entire solution is pretty user friendly from beginning to end.

The deployment, in total, took less than three weeks.

The solution is quite expensive.

We're just a customer. We don't have a business relationship with Tableau.

I currently have a student license. I'm not sure which version I currently have. I mostly leverage the solution for personal use.

I would warn those considering the solution to take a look at the price and make sure it is within their company's budget.

Overall, I would rate the product nine out of ten. I've been quite happy with it.

Tableau Desktop is equipped with so many valuable features that it is difficult to know where to begin. The functionality that allows users to join multiple source files and create visualizations using the fields from each of the joined source files is certainly nice to have. While the list of graphs and charts on the “Show Me” menu is impressive, one can do so much more with Tableau. With a little imagination and ingenuity, customized visualizations can be created easily and quickly.

It is far easier for my audience to grasp the key takeaways of an analysis by viewing a data visualization than by reviewing a spreadsheet. Tableau Desktop simplifies communication between analytics and senior executives.

I have not yet transitioned to Tableau Desktop 10.0, but I understand version 10.0 has functionality that allow users to perform cluster analysis. I am sure that I will be using this functionality frequently going forward.

I was introduced to Tableau as part of an online course on data visualization offered by the University of California, Irvine. Although I have been using Tableau for less than a year, I use the product frequently.

I have not encountered any deployment, stability or scalability issues.

Tableau provides an enormous number of online resources that are clear, concise, and very thorough. You are almost guaranteed to find the answers you are seeking within this online documentation.

We did evaluate a number of other BI solutions before selecting Tableau Desktop. In the end, we chose Tableau Desktop because of its flexibility and superior graphics. We are a fairly small organization. While we do not currently have a data warehouse, we are planning to build a BIDW within the next three years. Once the data warehouse has been rolled out, we will transition from Tableau Desktop to Tableau Server. In the era of big data, Tableau Server offers a number of attractive features including the built-in interface with both the R Project and various open source big data applications.

The initial setup for Tableau Desktop is about as straightforward as possible. Once you download the software to your computer, you are ready to use the application.

The speed with which it is possible to explore data is, for me, the best thing about Tableau. By this, I mean it is extremely easy to drill into data, which in turn shortens the time from having raw data to having useful, actionable insights. The aesthetics of the dashboards and adherence to data visualization best practices by default is also great.

Our organization’s workflows dictate that the front desk staff are supposed to collect demographic data from our customers. However, we knew that this was not happening. Tableau allowed us to very easily monitor which staff members were adhering to these workflows and which weren't. We could then do very targeted re-training of those staff members who needed it.

Two major improvements that I would like to see:
- A better/quicker interface for formatting graphs and dashboards. The current design takes too much time and doesn't really allow for the same formatting to be applied globally across all of the visualization.
- Improved data formatting prior to visualization. I do know that some improvements are coming with the next major release - for instance, the ability to join data across disparate data source types (e.g. joining CSV and SQL Server DB) - but this is currently a major limitation.

I have been using it for 2.5 years.

For the most part, we have not had any real issues here. That said, our "biggest" data is 10 million rows of mostly discrete data, so we aren't pushing the envelope.

Customer service and technical support have been very good for us. It's worth mentioning that the community forums are VERY active and will often provide answers from Tableau Masters faster than actual Tableau support can respond.

In late 2013, we tested QlikView Desktop and Yellowfin Analytics. They did not seem quite as powerful at the time. However, I have not evaluated those products since. In early 2016, I explored Microsoft Power BI and found the interface clunky compared to Tableau. It is, however, much cheaper.

We found setup straightforward with relatively few surprises. We did have to work through some issues with drivers to connect to a SQL Server 2008 database, which customer support did help with.

We had an in-house implementation (4 desktop licenses, 25 server licenses) and found learning Tableau to be relatively easy for our dedicated analysts (the desktop users). The biggest difficulty we found was getting the Tableau Server users to actually log in to look at the dashboards that we had created for them - often providing them with the data they requested. Getting the adoption by the business decision-makers was the hard part (and obviously that is a problem that would apply to any BI tool).

While I don't have specific $$ numbers, I can say that several reports that we were maintaining previously in Excel that took 4-5 hours to be updated manually each month, now can be updated in 20 seconds. I do think that this would probably be true of any of the products similar to Tableau available on the market now.

The video tutorials available on the Tableau site are very helpful. We spent many hours watching both the step-by-step tutorials as well as the broader webinars highlighting an organization Tableau use case for education and ideas on novel dashboards/metrics to develop.