Tableau Reviews

The interactive feature
lots of visualization option
Easy data prep process
Easy to use interface
Drag and drop feature

Steep learning curve for non experts
No pop up messages to help new users
Reporting does require knowledge of advanced SQL operations

I like Tableau for its user interface, it's easy to use. You can quickly visualize large amounts of data and connect to a variety of data sources, including Excel, text, and Google Drive files. One thing I'd like to point out is that data visualization is simple: simply drag and drop dimensions and metrics onto different templates to see your data come to life in colorful and impressive charts of all shapes and sizes. Dashboard visualizations look well organized.

what I don't like is that the license is somewhat expensive for the work it does.

Once you have your data ready in a way, tableau is able to connect, it's an easy to use tool.

There's supposed to be a web data connector between Filemaker and tableau. This is not working. Tableau sales representative do not care about it.

Tableau has a tool called Prep which is quite handy for data import from multiple sources be it excel, relational table, plain text. You can easily refine the data and further use it for analytics.

Selecting features during preparation of visual analytics is quite cumbersome. Also chart selection and fitting the data require so much of training.

What I like the most is the amount of tools it has to be able to work on the whole process of a data analytics project.

The Tableau cloud version could be improved, since the current version is not at the same level as the desktop one.

Tableau is an incredibly powerful and user-friendly data visualization tool. It is incredibly easy to use and provides incredibly powerful visualizations that can help users better understand their data. The drag-and-drop interface makes it incredibly easy to build complex visualizations with minimal effort. Additionally, Tableau has a wide variety of features that give users the ability to customize their visualizations to their needs.

One of the drawbacks of Tableau is that it can be quite expensive for larger organizations. Additionally, the user interface is not as intuitive as some of its competitors, which can make it difficult for new users to learn. Finally, Tableau does not have the ability to perform advanced analytics, which can be a limitation for some users.

I really like how easy it is to try visualizing data in different ways. Going into an analysis I don't always know the best way to present my data, so being able to try different things so easily makes my analysis a lot easier.

Formatting visualizations is not easy to understand. Clunky UI for formatting. Somewhat difficult to figure out what exactly is being changed by different options.

The ability to create and visualize sets of data in a number of different ways, and tailor it to your liking something very powerful about the tool that really stands out. Having one set of data and being able to visualize and paint of a picture of that data in two different ways side by side in one dashboard really stands out for me.

The time it has taken to get in touch with customer support at times when there are urgent issues has been a frustration and has prevented our team from being able to troubleshoot a few different technical product issues in a timely manner.

Tableau is exceptionally easy to pick up and be productive, and has the ability to connect to almost any data source you can imagine, including REST APIs (though this is a pretty advanced process).

Cross database joins are an amazing feature that allow you to mix data from Excel, Oracle, MySQL and others on a single dashboard.

There are a ton of online resources available from Tableau, and the broader user community which help you in the event that you get stuck on a thorny issue.

Tableau also supports the Tableau Public desktop software which allows anyone to create and share visualizations for free on the web (though data sources are severely limited with Tableau Public).

Price is an issue, particularly if you're an individual or a small business. Woe be unto you if you're a small business and you'd like to set up a Tableau server.

There are some functions which we've all grown accustomed to in Excel which new users will expect to be in Tableau but just aren't--robust Conditional Formatting, for instance. However, in most cases there are workarounds and other ways of accomplishing the same task.

While it's easy to become quickly productive, most users will outgrow the easy stuff pretty quickly as they attempt join new data sources, or produce more complicated visualizations.

My company heavily relies on Microsoft Excel to initially record and store data so I like the fact that Tableau easily allows you to import spreadsheets from Excel as raw data which can be transformed into great visualisations using Tableau's powerful features. I also like the fact that Tableau allows you to combine data from different sources and work on them together. One feature I find most helpful is report scheduling which updates reports automatically each day. This allows me to automate a repetitive task which I would have had to devote time to doing each day and allows me to easily monitor key metrics.

Tableau can be quite slow when working with larger datasets. Also, although Tableau has great visualisations for data, I feel there needs to be more statistical functionalities to be able to derive better and more in depth insights from data.

Tableau has changed the BI world a lot. It has brought in a software, using with business user can create dashboard & reports on the fly and can check what is there inside. It allows the user to read through the data and derive the insights without much technical analysis. First it can connect to any database (I know about 44 database it connects) and you can set the data, slice the data needed for current analysis and then you can do quick reporting. It provide multiple features, like different charts, graphs and tables and mathematical and statistical functions for analysis. Once you have create multiple visuals you can put them onto one dashboard or multiple dashboards into a story and present the same to business

Even though it has rich features but it can support the Enterprise BI needs like business object or Cognos does. It does not provide all the feature for E L T (extraction, load and transform) which requires complex transactions. As data gets huge the graphs and charts become unreadable. also, this software is more useful to the business user for personal purpose than company wide reporting etc. The administration part of it needs a lot.

Tableau is a robust and intuitive program for analyzing and visualizing data. The easy-to-navigate interface facilitates rapid data exploration and analysis. I like how quickly and easily it allows me to integrate and analyze massive amounts of data from many sources, all while making visually appealing and insightful visualizations. It also incorporates sophisticated analytics tools like complicated aggregations and predictive models. Users may find answers fast because of Tableau's broad online community and resources. The implementation of Tableau within my company has been smooth sailing.

Tableau can be pricey, especially for startups or single users, and there is a learning curve to getting the most out of all its advanced features and capabilities.

It has amazing data visualization capabilities. Working for an organization where mostly reporting and visualization done on excel, When Tableau was introduced to our team and has been so much beneficial for us. You can create a scintillating and self-explanatory dashboard using this which is easily understandable by higher management even if they don't have any technical knowledge.

Tableau can handle a large number of datasets also very easily and that dataset can be easily visualized without facing any performance issue. One thing which I like the most about tableau is report scheduling where your reports can be updated automatically every day.

Another thing which i love about tableau is that multiple and different kind of data sources can be easily connected at one place.

Till now nothing that hinders me while working on this tool as its meeting all my expectations.

The easiness on creating simple reports don't obfuscate its power on creating complex dashboards. If you want to create a simple bar graph that shows your sales amount, you can do it easily and quickly, but it doesn't take out the tools and mechanisms that allows advanced users and consultants to do more, like creating complex non-existent (not ready-available in the tool, but possible) charts like exploded bar charts. It supports formulas and also have a very good engine for it, as you can define one and reference it by its name wherever you need.
As an analytics consultant, I've seen many other reporting tools, like Qlik View (and Sense), Power BI, SAP Lumira and so on, so I can tell that Tableau is a major competitor in segment.

A common problem that takes place inside large companies lies on the difference between how we think Tableau looks for data and how it actually does. At one of the cases we have SAP Hana as a database with its views as data source and Tableau as the reporting tool. Some of our dashboards have been stated as "slow", but we figured out that the problem was not on the columns that was available and being used by Tableau, but in the other columns. The Tableau doesn't ever create the same SQL as we are expecting for a situation, it has a complex way to determine the better SQL for the best user experience.
This slowness is known wherever you ask for "Tableau main problems".
So the problem was not entirely on Tableau, but in the way we created the views.
This is a very light con that has the main purpose to aware software buyers instead of saying "don't buy".
In short, the slowness may lie on data source instead of Tableau's engine. You should care about how data is delivered to it.

Intuitive and user-friendly UI similar to a canvas for dashboards
Multiple data sources
Automated dashboard refresh and functionality to publish to stakeholders
Administrative privilege to provide access role wise and rule wise
Customised dashboards and ad hoc reporting are possible
The scope of calculations and aggregations is huge
Statistical and predictive analysis can be performed to uncover insights from the data

Price: Pricing could be an obstacle for small-time independent developers
Better memory allocation for large datasets to optimally refresh the data

Tableau is easy to use, easy to learn, and is an immensely powerful visualization tool. On a single dashboard our student services team can monitor anything from enrollment to advising to course loads in particular classrooms. There is a curve to set it up, but once you navigate the curve and get your data sets in place the software is very much fire and forget. Modifying reports or dashboards is very simple.

I'd love for there to be a lower cost enterprise license or a way for us to disperse dashboards to end users who only need to see but not manipulate the data. We hesitate to host these on a page internally or externally due to data protection requirements at the federal and state levels.

Using Tableau, a top tool for data visualization, users can easily produce eye-catching visual representations of their data. Without extensive coding skills, interactive dashboards, charts, and graphs may be created using its user-friendly interface and drag-and-drop features. Tableau's vast visualization options library enables innovative and interesting data displays. Users are able to connect to a variety of data sources on-premises and in the cloud thanks to the platform's strong data connectivity features. Tableau's robust analytics features assist customers in finding insightful information and making fact-based decisions.

The learning process for Tableau can be challenging for new users or those with little background in data visualization. To effectively utilize some sophisticated capabilities, you might need more education or experience. Smaller companies or individuals with tighter budgets may want to take the licensing charges of the program into account. Performance concerns can occasionally be caused by managing very large datasets or advanced data structures.