Tableau Reviews

• Ability to read multiple data sources
• Beautiful visualizations#
• Easy to learn and use

Tableau does an excellent job upgrading the software with each release. One thing we have been waiting for is the ability to import an ArcGIS Shapefile into a custom map. There is a workaround using a third-party utility but it is unstable.

I have used it for more than three years.

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

Installation was a cakewalk. Over the last three years, there have been at least eight upgrades and three major releases; all upgraded without incident. Our Tableau Server has been running continuously for over three years. We have had two separate up scales; both were successful.

I rate the level of customer service and technical support 10/10. I’ve been working with vendors for over 25 years. No one else comes close.

While we use several BI tools, this was the first visualizations platform we purchased.

Initial setup was very straightforward.

We implemented it ourselves. It was very easy.

Pricing/licensing comes in two methods; named users and core licensing. We started with named user accounts, buying only what we needed when we needed it. As demand for the platform grew, we upscaled to core licensing. That approach was practical for us.

Prior to purchase, we did evaluate several other vendors. We choose Tableau based on Gartner research, deployments at peer institutions and finally, price.

Start now, start small and grow. This isn’t like your traditional BI platform, where you have to spend years designing the infrastructure before the first report comes out.

The ability to have a question and be able to quickly find the answer without having to reconfigure the data like you would have to using Excel. It also makes it much easier to visualize data in different ways quickly.

Seeing visuals of data makes more of an impact than the numbers alone, as most people are more affected by visuals rather than just numbers. We’ve been able to spur change by using visuals to back up points that we wanted to make more effectively than by just using the numbers alone.

Share-ability. If your audience isn’t using Tableau, getting them to see and use the insights can be challenging. Tableau’s approach to communicating information around data is great, but it requires a shift in how you communicate it and they purposefully don’t make it easy to share via traditional methods (e.g. PPT).

I have used it for ~2 years.

Not really applicable to me, but it still is in the process of scaling to the entire company (3,000-plus employees).

Technical support is average. It’s a lot of self-service forums that require you searching through the relevant postings on issues. It’s pretty comprehensive and as long as you are comfortable with a Stack Overflow-like approach to Q&A, it’s fine.

We used QlikView. I’m not 100% sure what drove this selection over QlikView.

N/A for the technical setup. It does require a learning curve as you need to adjust from the way you’ve interacted with data previously, to how it’s set up in Tableau.

As with any software implementation, it's going to require learning, adoption and acceptance, so you want to temper your expectations of immediate success and reinforce the use of Tableau throughout your company.

• Easy to connect to random sources of info. In my case, to MySQL + Google Analytics + an Excel file with Facebook Insights in one case, and another MySQL + PostgreSQL in another case.
• Easy to build with drag & drop even for a rookie like me.
• Fancy graphics in the end result. This is important when I use it during a demo in front of potential customers.
• Interactive filters. A selected option in one widget can filter automatically the other widgets that are used in a dashboard. This is awesome!
• A wide range of customisations.

In less than 3-4 hours, I started from a pure installation on my Mac and succeeded in investigating a trip of a vehicle recorded in our records and had created a visualisation of that trip on a map.

That was used to prove a hypothesis that we can find answers to various questions about our vehicles without needing to wait for developers to handle the custom specific case.

I need to be able to combine in a worksheet from different sources because the insights could be much more powerful. It is possible that the product can do this now, but it was not easily found.

An option to interrupt the process of loading of external data (like from Google Analytics) would be helpful. A few times, I had issues with interruption of the initial data loading process, when it took longer than the expected.

I have been using it for a month.

I did not previously use a different solution. This is my first time with this. I did a lot of research into the final result of my BI work.

Initial setup was pretty straightforward!

It was an in-house implementation. Pretty easy.

If the price was cheaper, then my rating could have been a perfect 10 ;)

If you are looking regularly for answers that are hidden inside your data - like 3-4 times in a week - then it is undoubtedly more valuable to take a shot with a BI solution (even if you don’t use Tableau). The speed; the deadlock dependency on your R&D resources leads to a loss of time. Tableau gave me the freedom to experiment with the hypothesis that I had.

Ease of use, speed to develop and deploy solutions. The ability to quickly develop solutions is invaluable. We are managing an immense amount of data and can more quickly correlate multiple data sources to aid in our decision making. We don’t need a large team of technical staff to develop tactical solutions to support executive decisions makers, while also developing robust work queues to aid staff in prioritizing their work or improving health and outcomes of our patients.

We are much more nimble in our ability to provide tactical data and deploy scalable enterprise dashboards/visualizations to staff within the organization. It has allowed non-technical staff to build solutions to aid us in our decision making or improving clinical care for patients across the enterprise.

- More advanced capabilities to format dashboards
- More advanced data merging from multiple data sources
- More advanced management of data extracts

I have been using it for 5+ years.

I did not encounter any deployment, stability or scalability issues.

I rate the level of technical support at medium. Staff are responsive when there’s a major technical issue, but getting answers to trivial questions are handled via forums and can take time or might not match your environment or configuration.

Qlik and Business Objects were used previously. Tableau was selected based on feedback from staff and other peers that are using the product, as well as all of the success we have experienced within our organization. The benefits and speed to develop were key decision factors. Licensure costs was also a key factor in selecting Tableau.

Initial server setup is very easy and does not take a significant amount of technical expertise.

An in-house team implemented it so we could gain expertise in configuration and how to perform upgrades.

ROI is not easy to quantify at this point, but we have gained efficiency through some initial self-serve data and faster time to discover.

Licensing can be expensive, so it’s best to determine scope and implementation plan.

Utilize the trial version and test out functionality of the product. It’s very easy to get started and as you gain proficiency, you will want to learn more and develop more advanced solutions.

The most valuable features are the ability to use various data sets from different platforms, the intuitive graphs, and the ability to play around with the data and graph selections for different views of the data. As the course work is focused on ‘Big Data’ - both structured and unstructured - the ability to mix some of these sets and have Tableau suggest the best graph was very helpful. Because the product is so flexible, other graphs can be selected and a new ‘view’ of the same data presents a different insight.

All product use was through the school.

Version-specific work did not automatically version up with the upgrade. Since the version change occurred during the course and the majority of us had never used Tableau before, this static versioning for the projects caused some anxiety and some rework. There might have been an easier way to move these projects to the new version, but it was not transparent how to do that and online resources referenced an older version solution that did not work in the newer version.

I was introduced to the product through a few courses in my master’s program in Business Analytics, and was able to use Tableau Desktop for one of the course projects.

I did not encounter any deployment, stability or scalability issues. All product was through the school.

I did not interact with Tableau staff; all support was derived from the school’s IT staff.

The initial desktop setup was phenomenally easy and straightforward. Access to test projects and videos are available to ensure that the product works as expected.

Desktop implementation is user-based and although the setup is easy, it is necessary to be cognizant of where the base files reside and how projects and data sets are stored.

I am unable to provide pricing/licensing advice; the licensing is provided through the school with keys for each student to obtain a desktop version.

Tableau is a very robust engine. As attractive as the speed to combine data sets is and the great visuals it can produce, it is well known that it is not an affordable product if you maintain small datasets. To use a phrase, you don’t need an army tank where a red wagon will do. Because of this, Tableau would need to have a Tableau-lite for smaller businesses, so that it wasn’t so hard to start using the tool, then as the business grows, so does the product if need be.

One of its greatest strengths is that it can very quickly perform various analyses, tests and rules out different scenarios, in seconds. It works perfectly integrating different data sources and applying immediate updates.

Ease of use: It requires a brief introduction and then you can use your imagination to perform all the analyses you want.

Other valuable features are: the ability to graphically represent different ideas, integration with different data sources and the ability to perform the deployment throughout the organization. To perform analysis is important but being able to share empowers the organization.

Tableau has allowed automated analysis and delivery. We have managed to automate reports that previously took up to 10 days to produce. Now, we can deliver these reports in a day (including updating databases).

They can improve the integration of SAP BW (join between elements) and Tableau Server platform, better adaptation for tablets and cellphone by the application and organize displays more efficiently.

We have used Tableau for almost a year and a half.

The connection between Tableau Server and SAP BW can sometimes be unstable and lose the connection, at which point it does not display the query or the hub to which it was connected.

Tableau technical support is one of the best I've had. 9!

Installation is really quick and easy; you just download the version directly from the official website of Tableau. The server configuration was a bit more complex but we had the support of the local provider.

You should always analyze the variables; each organization is unique. However, for implementation, we ran the methodology suggested by Tableau Drive, which is based on others’ experiences.

It has allowed us to replace reports. The impacted report areas have been empowered by the tool, and are more aware of the data they report.

We evaluated Qlik Sense, SAP Lumira and Tableau. We decided on Tableau over Qlik and Lumira for ease of use by the functional teams, and because they have a direct supplier in Venezuela, including support and training. At the time of evaluation in May 2015, SAP Lumira’s analysis development capabilities and its integration with different data sources were not as good as Tableau’s. Even when connecting SAP Lumira with SAP BW, we could not publish analyses.

It is important to consider change management, definition of roles and performance analysts.
Tableau is a powerful tool for performing analyses and communicating them. We managed to empower the organization with Tableau and we are in the process of extending it to all the analytical community of our company.
We can integrate with SAP BW and perform analysis of information. However, we have found it difficult to join elements of BW such as cubes or queries, but this promises to be resolved in the new version, Tableau 10.
We are really pleased to have chosen Tableau as our ETL tool to support our analysis and sharing it within the organization.

Visualization and ease of use are the product’s most valuable features. Dependency on the IT team has been reduced. Users feel comfortable creating their own dashboards.

Tableau Provides a set of different visualizations that were not available in OBIEE. The dashboards help narrate a story. As an organization, we were able to bring in more people to use our platform because it was easy to use and helped business teams make quick decisions. In OBIEE, the business was dependent on IT vendors to generate reports. With Tableau, non-technical business users have become familiar with creating dashboards, thus reducing dependency on IT vendors.

We were not able to implement organization-wide security the way it exists in BO or OBIEE. We had to do a workaround to restrict access by transferring roles on the portal using Java and PHP to restrict content.

The second area for improvement is the processing large amount of data using R.

Finally, I’d like to see Tableau have more statistical capability.

I have used it for three years now and am pretty happy. We're going to upgrade on 9.3 in Q3/Q4.

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

We are planning to increase our infrastructure to support more complex queries in Tableau. We are still in process of integrating R with Tableau. This is one area where I can see problems as R and Tableau both have issues processing large amount of data.

I rate technical support 8/10.

We were using OBIEE for generating dashboards and wanted to upgrade our system with better visualization tools.

Initial setup was pretty straightforward, except for security. Also, we had to change the entire data model so that we could get in Tableau dashboards similar to those we had in OBIEE.

Technical expertise: in-house. Support: vendor team. I recommend that in-house implementation to bring expertise onto the team.

We were able to see 200% increase in usage of the platform vs usage of OBIEE.

We evaluated Spotfire, QlikView & Sisense. It came down to a tough choice between Spotfire and Tableau. We finally selected Tableau because it is good in providing visualizations, its integration with R, and it has a lot of connectors with various databases that Spotfire does not have. It also looked promising that it would provide more features in future releases.

Do not think twice about it; just go for it to find new insights in your data. There is a great future for this tool. It will help you perform basic statistical analysis. It will give you a different way to look at data structures.

• Ease of use - very intuitive
• Same design for both the desktop and server solution - Easy configuration
• Easy and intuitive manipulation of data
• Program automatically suggests the best data representation
• Graphical design - modern and nice

It brought easy and comprehensive access to company data to managers, without needing the IT department.

It would be nice to be able to use the reports as a data source. Calculations in reports are still tricky.

I have been using it for a few months.

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

Customer service and technical support are very good; the free tutorials are especially great.

I used IBM Cognos for many years, I am now working with BO, and I have evaluated many others. I choose this product for a particular customer because he needed analytical access to data for managers without having an IT department in the company.

Initial setup was very straightforward, and configuration was easy. Both the client and the server solution have the same UI design. It is easy to begin with the desktop solution and then upgrade to the server.

I implemented just a pilot project and I did it myself.

I have not calculated ROI.

Pricing is very competitive.

The product is probably not very suitable for standard corporate reporting, but if your users need analytical insight to data, it is an excellent solution.