Tableau Reviews

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.

Because I mainly use Excel for data recording, I like that Tableau does not require inputting the data again. I can just export my data and start visualizing it and preparing reports.

If you don't have the proper training, you won't get full use of this software. It goes beyond data recording and I think data visualization is its main use (at least to me/ that's why I got it). Most of the features there are not self-explanatory. You have to take extra steps and watch their free videos to learn how to use them.

Tableau offers a lot of rich functionality for designing visualisations and dashboards. There is a lot of power in the product.

There isn't feature parity across the desktop, web, and mobile versions. For instance, in the edition we have the web client doesn't allow us to view data sources to see the underlying query or to edit them. We need to use the desktop client. However, the desktop client no longer logs in - the login screen simply gives a blank screen. We asked Tableau support who simply said they couldn't provide any...

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Great customize dashboards for analyzing the data you need

Mainly the high costs of the software use

I like how Tableau is a reliable tool for data preparation.It's simple to visualize and understand data with Tableau.I can analyze big datasets using this tool easily.

I haven't found any missing functionality with Tableau as it's fully-featured to meet all my needs.

Tableau has self-service data preparation tools that makes it easy to collect and visualize data from ETL services.

Support at Tableau and in our organization works together to resolves issues that may arise rapidly.

It allows you to feed the information from an external source, even automating it so that your reports are generated automatically.

It is a bit complicated to design if you don't have programming logic, however if you have programmed before and can design a correct flow it will be a great tool.

It helps to reinforce understanding and provides a vivid picture to support data-driven decision making.

It's expensive; requires training and constant application. It will serve well also, if it can be integrated with Artificial intelligence.

It's simple to discover and explore data with Tableau.It's easier to prepare data using this tool.I like ease to analyze large datasets.

This tool performance is excellent hence nothing to point out as flaw.

Can handle large data sets and visualizations and is quite stable to use

Doesn't automatically provide a way for users to get permissions to view (aka google) Also UI is very outdated

- Amazing data visualization capabilities - Tableau can comfortably handle large amounts of data. A million rows of data can be visualized without affecting the overall performance of the dashboard - Dashboards can be built interactively using the drag & drop function - It runs effectively and efficiently across different devices & - ...

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- There seems to be no schedule or automatic refresh functionality - There is no custom visual import option available - Scaling may cause potential high costs if the organization is huge

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.

I used to use Access and Excel to create reports on data aggregation and analysis of the current situation, which changed every day, and I had to repeat the same tasks over and over again each time. However, since I started to use Tableau, the freshness of the most important data has not deteriorated, and I can visually view the data reflecting almost real-time data. The basic operation is not difficult...

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I would like to see a more complete set of manuals. Statistical knowledge is not necessary, but some of the expressions on the screen are difficult to interpret, and it takes time to get used to them. The visualization is not intuitive, and when you try to do something a little more elaborate, it has its own quirks, and I think it requires training to make the visualization look the way you want. As...

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There is a reason that Tableau is synonymous with data visualization tools to many people and organizations. It’s a premium product that can do pretty much whatever you want it to. Tableau’s features are limitless and with the proper resources to maintain and deploy it, you’ll rarely identify capabilities that it doesn’t have. It is truly a BI tool that enables your team to overcome any obstacle they...

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The three biggest drawbacks to our organization continuing with Tableau were ease of use, cost scalability and functional scalability. Tableau is not the tool for organizations that lack technical resources. It’s not as “plug and play” as other options on the market and requires significant training of architects to fully take advantage of all its capabilities. Tableau also isn’t the ideal solution...

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Tableau has a good community support, almost any question that you get has been already answered, Tableau supports any type of datasources, it supports data from a simple spread sheet to any modern time Databases (such as Snowflake , AWS Redshift , psql, mysql etc...) Dataset can also be a query or joining multiple tables etc, which gives us a flexibility to compute required datas in the initial stage...

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Tableau desktop application can perform slow when we are dealing with large data set, especially when dragging and dropping KPI's on switching from one worksheet to another, can reduce the development speed, so to avoid this use a small data set for development. When we are using Extracted Datasource the publishing to server and importing to desktop works really slow, since it is transferring the extracted data along with the tableau logic, Editing the alias of table columns are quit tricky not flexible, In filters the Dropdown listing are hard coded strings, it wold have been better if we could us a dimensions or values and and also if it supported chain filtering use of functions like TP90, Average etc , require the data set to be extracted , will not work with live data.

Expansive functionality that allows the user to both manipulate and export data in a wide variety of formats. Export as an image, excel workbook, PDF file, Powerpoint or more. Multiple custom filter options that allow you to sort to the data that is most important to your needs. Easy to navigate through reports and convenient features such as adding favorites that will show up on your dashboard. Clean and professional interface that helps with organization of projects. Sharing reports within your organization is simple and there are restriction features which will allow you to determine who has access to the data sets as you see fit. Software gives information on when data was last refreshed, if the report is in real-time, or when the data is scheduled to refresh again.

Inactivity will cause you to have to refresh the page and remove any applied filters which will require you to wait again for the filtered data to load. This can be a little frustrating especially when pulling very large data sets that take a long time to load before you can pull them and then forgetting to export the data before the page refreshes. However, this is a rare occurrence as the refresh time is pretty generous, at least a couple of hours in my experience. Nevertheless, something to note for improvement in future versions.

- Very intuitive way o assemble data, no need for programming or special commands - Easily change data from numeric to alphanumeric - The most common and useful charts are available - Easy to breakdown data into several clusters - I once plotted 6 parameters in a 2 dimensional chart: X, Y, bubble size, color, name, icon - You can build special read-only docs with the functionality to be read by Tableu Reader (as in acrobat reader) - You can customize label, axis, trend and references lines

- Eventually some very specific charts are not there as chord, tornado, tree maps, nodes, gauges, alluvial diagram, dendograms - Even with all the clustering, it lacks statistical analysis as Anova, hypothesis test between two set of data, normal probability plot

There are many features which lot of users would have liked:- 1. Connection to almost all database 2. Many types of Charts can be created including Sankey, Doughnut, Maps etc. 3. Its has the feature of data blending and data extraction 4. Dashboards can be viewed on multiple devices like tablet, mobile and laptops. 5. Its really fast while drilling down or filtering out from any dashboard.

Its a bit expensive tool as compared to other data visualization tools however its a value for money.

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.

I love Tableau because, to me, there is almost nothing else out there that does data visualization so quickly and so effectively. I love that you can import almost any kind of data source (I only use SQL or Excel as sources, but there are hundreds of other options). I love that you can then add your own calculated fields, group data into custom buckets, and create parameters which the user can input...

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I definitely wish Tableau could write back to a database. That would be amazing. I've heard it's in the works, but for now, it's still just on my wish list. I dislike various aspects about Tableau that can make it quite tricky to use. When you publish a data source, you should really publish it first before creating any calculated fields, groups, or parameters. Otherwise, it becomes much more...

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Tableau is centered around you as a user asking questions to your data. It is as simple as that and it works in ways not imagined before. Via graphical user antierface and drag and drop you combine aspects of your data and visualize relations. The coolest thing is that Tableau supports you without pushing or distracting. The process is emergent and makes it possible to walk the line from coherence...

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The licensing was a bit of a hassle as we started in the early days of tableau. Also Sales were very eager and pretty actively tried to support us. This never was a bad thing, just a bit too much. Also Tableau introduced support for document based databases rather later than earlier so we had a slight wait there. Then again, every time the did include a feature it was just bug free and worked like...

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I have tried many ways to organize my files, especially my data for work. I had tons of trial and errors with different software. I tried Tableau and I have been using it ever since. Tableau lets me store my files and so much more. Tableau allows me to view my data in a way that I wanted it to be shown, organized and sorted. I can access different files using cloud and data warehouses. No other software...

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Tableau is great but it really was confusing at first, especially without any help or tutorial, the software had too many functions that it can take time to be able to learn a single task in it. A helpful solution is that Tableau has a help area where frequently faced difficulties can be answered and since many has already been using it, asking for help from others was not that hard. It was not that difficult to learn the functions of Tableau.

I have been using Tableau Desktop for over five years now and I still get excited about it. First, Tableau is so easy to learn and use--the intuitive interface allows even first-time users to create amazing visualizations. Second, Tableau is a time saver. What used to take me weeks now takes days and what used to take days now takes minutes. Third, Tableau is versatile. There are many different...

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Sometimes large data files can take several minutes to load. Tableau allows for the creation of extracts to speed up the process, but the initial upload still takes time. Tableau also does not have an auto-save feature, which has caused me to lose work on several occasions.

The software is very powerful tool and excellent visualization tool. It is easy to get started and there is a ton of free training available. The pool of users is great and the community is very helpful to new and existing users.

The support we pay for is almost worthless. We frequently solve the problem ourselves and it is time consuming to submit everything via their helpdesk with nothing to show for it. Providing logs and files and emailing with someone on the west coast outside of normal east coast business hours is frustrating. Tickets get "escalated" to the engineering team and that ends up being code for "we don't know and this won't be fixed by us". Turnover for their sales representatives indicates it isn't a great company to work for either.

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.