Analytics with Tableau
We use Tableau to generate daily and weekly reports for our business module to generate our key performance indicators. These insights we …
Starting at $70 per month
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What is Tableau Desktop?
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual…
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What is Tableau Desktop?
Tableau Desktop supports data-driven decisions by helping users to answer questions more quickly, solve harder problems more easily, and uncover new insights.
Tableau Desktop connects directly to hundreds of data sources, both on-premises or in the cloud, with the goal of making it easier to start analyses. Interactive dashboards, drag and drop functionality, and natural language queries help users of all skill levels quickly discover actionable insights, all from its visual interface. Users can ask deeper questions by quickly building calculations, adding trend lines and seeing statistical summaries, or clustering data to see relationships.
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In this video, the TrustRadius team will be discussing the top business intelligence tools available: Qlik Sense, Tableau, ThoughtSpot, and IBM Cognos Analytics.
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Tableau Desktop Technical Details
| Deployment Types | On-premise |
|---|---|
| Operating Systems | Windows, Mac |
| Mobile Application | No |
Frequently Asked Questions
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
Tableau Desktop starts at $70.
IBM Cognos Analytics, SAP Lumira Discovery, and Qlik Sense are common alternatives for Tableau Desktop.
Reviewers rate Report sharing and collaboration and Publish to Web highest, with a score of 9.3.
The most common users of Tableau Desktop are from Enterprises (1,001+ employees).
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- 6.1Performance
- 8.6Usability
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- 8Online Training
- 9.4In-Person Training
- 8Implementation Rating
- 8.1Configurability
- 7Product Scalability
- 10Ease of integration
- 10Vendor pre-sale
- 10Vendor post-sale
- 9.2Data Visualization
- 7.9Data Sources
- 8.4Data Sharing and Collaboration
Reviews
(1-25 of 31)Companies can't remove reviews or game the system. Here's why
February 27, 2024
Analytics with Tableau
Score 7 out of 10
Vetted Review
Verified User
We use Tableau to generate daily and weekly reports for our business module to generate our key performance indicators. These insights we use in our business review meetings to understand the business performance with our target baseline. Through this, we can able to identify the areas of improvement and contribute to decision-making.
- Easy to import the data from various external sources and transform them as per the business requirements.
- Through Quick analysis tool bar option, we could easily calculate certain metrics and boost productivity
- We use set and parameters in Tableau to generate business insights required for our process.
- It has poor performance while handling large data sets and takes a longer time to complete certain tasks.
- Their customer service assistance is not good which should be improve for better experience.
- They have limited options to export the data from Tableau that should be improved.
April 27, 2021
Tableau Desktop - intuitive dashboards and ease of use
Tableau Desktop has been used in the entire organization. It is a very important tool to create concise and clear visualizations. I was able to get started on using it right away with minimal initial training. Tableau Desktop is an intuitive tool, doesn't require coding and the users can become proficient in a short period of time.
- The learning curve is minimal.
- Easy to use and very intuitive.
- Tableau provides good quality online help.
- The dashboards alignment can sometimes become a challenge.
- It doesn't have the donuts/ the ring as a native visualization format.
- Sometimes is difficult when dealing with dates calculations.
September 19, 2019
The best tool for visualization and storytelling
I work for a Data Sciences organization which provides consulting and corporate training in data science and visualization, and since Tableau is my bread and butter for visualization, either to understand my data or train people on the nuances of data. It is generally used across the organization although some people prefer using R and Python libraries in pockets.
- Easy to import data from multiple sources
- Easy to drag and drop and create various dimension
- Easy to build a storyboard
- A simple knowledgebank to get people started is essential.
- The pricing could be slightly lower for individual users
- The calculated fields could be made simpler
In our company, we use this department-wide. The teams that work on data visualization use this product. The work on this tool is client specific, some teams use this to understand the data, some teams use it for making the good charts for presenting the data. The teams that are mainly using this tool are more into analytics.
- It creates good dashboards.
- Selecting the fields and metrics is quite easy. We can create the formulas for presenting any variable.
- We can use this tool with R studio and SQL, which I think is the major power of this tool.
- We can process huge data in a very limited time.
- Output delivery of charts is also very efficient. For example, we can take the PDF of the charts, which is good, from other tools.
- More statistical functions need to be introduced in it.
- We can not clean the data through this tool.
- While taking the data from multiple sources, it hangs sometimes which sometimes crashes the whole system.
December 22, 2018
Tableau Desktop great for individual users
Internally, Tableau is mainly used by the analytics team, but we have had some cross-department adoption. Externally, our clients use the dashboards our team produces across multiple business functions. It really depends on the client and how much they are dedicated to investing in the platform at an organizational level. It's mixed between companies with only 1 or 2 stakeholders that care about dashboards, to companies that use Tableau across the organization.
- Tableau allows me to quickly explore a dataset and find meaningful visualizations and segments in the data. I find that it's the tool I turn to when I have a fresh set of data and need to quickly pick apart what's important to know about that data.
- A lot of my business stakeholders can't understand data without being able to see a visualization. Tableau enables me to take structured data and build those visualizations much faster than something like Excel.
- I enjoy the flexibility in being able to create calculated metrics within the tool. This saves several steps in creating those new metrics within the raw data. The calculated metrics are robust, allowing you to write logic to get at the data that you really need.
- I spend a lot of time customizing dashboards for clients to match their branding and aesthetic. The one particularly annoying thing is not being able to change the font colors on the y-axis labels. It seems so simple, but there's honestly no way to do it!
- I work from a laptop that is a few years old. Tableau software is not a light program and I often run into system memory issues when I'm running Tableau Desktop along with other programs. I probably just need a faster computer, but IT has budget constraints and I'm not sure when I'll get a PC upgrade.
- Sometimes I could spend a lot of time just trying to find a feature in the tool. Like a lot of other Tableau users, I end up googling my question and finding the answer on a community post or YouTube channel. I know it's not just me, as sometimes formatting and customization are not very straightforward.
February 25, 2018
Tableau- The Data Visualizer
We are using Tableau Desktop for creating dashboards for MIS reporting. These dashboards are being used by stakeholders and managers for their decisions process. They can see the changes over time and graphs, top performing agents and several similar details which are shown geographically or by state. We usually get requirements to update the dashboards as per their need so that it is easily understandable and conveys more information.
- Graphs and charts are built very easily.
- Tableau is very good at showing data visually
- Easily help make a decision by looking at the pattern
- The ETL part is missing in Tableau.
- For huge and ambiguous data-sets, Tableau Desktop is not good.
- Before analysis data preparation is mandatory.
February 22, 2018
Tableau Desktop a tool for BD and BI
Score 9 out of 10
Vetted Review
Verified User
In my work we use Tableau Desktop to do graphical analysis of data associated with the operations of the services we offer, the unit that is responsible for using it is the statistics management, our business is air transport, in specific air traffic services which are required by airlines and airports, the studied data is processed with Tableau Desktop to make graphics that allow us to identify patterns and facilitate content for presentations, reports and operational reports. Tableau Desktop is a fabulous tool for the diversity of types and graphic formats, for the versatility to establish relationships with data from different databases, the interface is intuitive, queries are very easy to do, regardless of the origin of the data, has tools to do data mining and consequently business intelligence, in our case it is very useful to relate things such as the volume of route operations depending on the cost of fuel, or determine the profitability of a route or create different scenarios and study the sensitivity of the operation in its different dimensions.
- the quality of its graphic tools.
- the intuitive and easy in the elaboration of database queries.
- I think Tableau should improve interoperability with document editors such as ms word.
- Support in multiple languages is necessary.
November 14, 2017
Tableau Review
I use Tableau to better help me merchandise our website. I can see which products are selling the best from each category and it helps me make decisions on what product to feature at the top of each category page. I also like having the option to see which SKUs (color or design) are selling better than others and I'm able to use this knowledge when deciding which option I show
as the main focus on the product page.
as the main focus on the product page.
- Filter by category & refinement to see which items are the best sellers in the particular field.
- Able to break down each item number by SKU and see which one is performing better than others.
- Able to see excess inventory and conversions.
- There is no search option, if you are trying to find a certain item you will have to use the filters to find it.
- Some of the category refinements do not match our website. For example, there's a "solutions hardline" category filter and we do not have this on our actual website.
- You cannot check previous weeks/months of data. This would be helpful to have when comparing product performance.
Tableau Desktop is used as a tool to display KPI dashboards. It addresses the business problem of getting timely visibility on business performance in supply chain. Tableau is used by the sales department and some sections of the marketing department but not across the whole organisation.
- Data mapping: create quick data exploration by joining text file data with xls file
- Gantt Chart: better Gantt Chart capability than Microsoft Power BI
- Mapping: excellent mapping capability down to suburbs and post codes in Australia
- Box plot: quick box plot creating
- Colour scheme: currently only have limited control over default colour scheme
- Scheduling dashboard creation and distribution via email currently not available.
- Table format visualisation: difficult to control as Tableau tends to concatenate fields once it has more than many characteristics fields shown as one.
March 20, 2017
Warming up to Tableau Desktop
We currently use Tableau Desktop to provide dashboards to managing departments in an investment company. We use two main types of data sources: an SSAS cube and views on an SQL Server database. Once dashboards are approved, we publish them on Tableau server for the company's internal clients.
At this time, Tableau is mostly used to automate reports analysts and managers used to fill periodically with Excel.
- Connection to data sources, and variety of connectors available
- Easy-to-use data blending functionality, once you experiment it a few times
- Makes visual analysis accessible to a wide variety of users
- Publication of dashboards on Tableau Server is a breeze
- Tableau is ill-suited to work with SSAS cubes, at least when you are used to analysis within Microsoft tools
- Data preparation is not up-to-par with other leading vendor tools (although can be improved through Alteryx if you have access to it)
- The ease-of-use is true for basic analysis, but rapidly gives way to a steep learning curve with more complex queries or when the business context is more mathematics oriented
I have used Tableau Desktop for various projects related to data visualization and showing data analysis. It is very easy to develop various charts, using colour codes to distinguish various trends and has templates to complete the work.
- Helps spot visual patterns correctly.
- Apart from using an Excel you can also connect to your own data set or database to import large amounts of data and use it to drill down and prepare charts.
- The charts and graphs made with Tableau are very interactive with the right information.
- When data is highly granular Tableau must render and precisely place each element.
- Green data fields are continuous and blue data fields are discrete. It is essential to understand what they do previously or else one can get confused. If you do not take Tableau video lessons or read about how the data fields with green or blue fields are different, it would be confusing. Tableau can improve that.
February 21, 2017
Tableau ease
Tableau Desktop is being used by one small department in our organization. We use it to track daily and monthly metrics for the organization and to visualize data coming from multiple different data sources. Our agency has been involved with a major data automation projection and depends on Tableau to test and use that data.
- Easy to learn
- Simple vizualizations
- Interaction with Tableau Server so non-developers can explore with filters
- Easy connections to many different types of data sources
- Automatically updated parameters - when my database encounters a new date field, the parameter should automatically update to include that date
- Easier mapping capabilities so I can more easily connect geo-located items with a polygon
Currently Tableau is being used to share dashboard metrics with our Retail Development team. Tableau is currently connected to our database server where it allows me to create real-time visuals for market reports and attendance tracking. Before coming to DMC they did not have a Data Analyst or a person that understood what relevant marketing metrics meant to the business. With Tableau, I was able to give VPs and other Execs a look at the business from a high level view as well as dig into the weeds to come out with data relevant for decision making.
- Aggregation: SQL aggregate functions are come last to the aggregation power of Tableau. There are various formulas for annual growth, retention, and ratios that can break a query or stress at database. Tableau simplifies that through calculated fields and presets.
- Mapping: Normally aggregate maps are created in SAS but, Tableau takes the guess work out of creating maps that display various levels of change using metrics.
- Calculated Fields: If you know SQL or even Excel then calculated fields are the gold nuggets of Tableau. Coding custom formulas that are reusable across workbooks, save so much time.
- Measured Names and Values: I struggle getting that blank area of Measured Names to vanish for cleaner reporting but, if you delete one then it removes the metric as a whole.
December 29, 2016
Worked superbly for analyzing web traffic data.
Score 10 out of 10
Vetted Review
Verified User
We use Tableau Desktop mainly to analyze operational data for our consumer-facing website. This involves data from our own web application (sometimes via database connection, sometimes via flat file exports) as well as Google Analytics data (both traffic and events data). We have one user (me) who runs weekly reports that mash up the data from the operational systems and Google Analytics, and then syndicate the output via emailing PDFs of the standard reports around. I also do ad hoc analyses from time to time to try and spot patterns, trends, answer specific questions etc. and sometimes those make their way into the standard weekly visualizations shared with the team.
- Tableau is an excellent tool for quickly making sense of millions of rows of data. It does an excellent job of recognizing facts and dimensions in denormalized data files (say CSV or Excel) as well as connecting to larger databases. The learning curve is slight but not too steep if you are comfortable with Excel Pivot Tables or similar.
- The visualizations are particularly good as well, as there is a good library of them as well as an auto-suggest feature that for a given series of dimensions and metrics will recommend what chart types might apply. If you have data it recognizes (or is typed) as zip codes for instance it will recommend a geospatial / map visualization.
- If you have broader enterprise needs for data security and segmentation, heavy duty report customization, or data transformation, this is less comprehensive a tool than other enterprise BI packages (e.g. Business Objects, MicroStrategy, or similar). That said, what it does, it does amazingly well and at a tremendous value.
- One minor annoyance is that formatting applied to a workbook doesn't carry throughout or get remembered as a template. The default choices for font sizes tend not to export well to presentations or printed text, and having to hand-enlarge every axis label every time gets obnoxious. I've seen third-party tools developed specifically for re-using formatting selections across one or multiple workbooks.
Tableau is used as a teaching tool for visualization across several departments. It is also used by these departments and others to create visualizations for budgeting and other external communications for the public, government staff and elected officials. Ultimately, these visualizations have a wide circulation and are key to demonstrating our commitment to a wide variety of social initiatives.
- Geographic visualizations with demographic substrates.
- Combining multiple visualizations into a single dashboard presentation.
- Creating exploratory dashboards.
- Storytelling.
- Their ability to send presentations using a snapshot of the data is outstanding.
- Could use a bit more flexibility in their approach to stories.
- Relatively expensive on a per seat basis.
- The viewer requires substantial hardware for good responsiveness.
May 26, 2016
Tableau - the better BI tool
Score 9 out of 10
Vetted Review
Verified User
- Clean visualizations that are not cumbersome or dated.
- Exceptional presence on (windows) desktop, web and mobile (capability).
- Connects to a variety of disparate data sources.
- Faster enablement of reporting and analytics than other BI contenders.
- No OSX support (due 2014).
- Browser Authoring needs more maturity.
- Missing some visualizations (coming in 2014).
- Some of the sorting capabilities on calculated fields are limited.
- Not great if you're looking for Crystal Reports style static reporting production.
- Integration with portal systems.
May 25, 2016
Tableau Desktop reality revealed
Tableau Desktop is used as the BI tool for a group of 3000 end users and more than 300 developers in our organization. We moved out of tools like Cognos, BO to Tableau for all our reporting and analytic needs. Tableau is cost effective and useful for quick turn around and is very suitable for self service BI.
- Connectivity to RDBMS, Excel, Files, Big Data. So a wide variety of data can be reported through Tableau.
- Tableau extracts can get the data out of source system and store it in the Tableau server or desktop user's machine to enhance the response time.
- Wide variety of analysis tips and pre-defined chart features that guide new users to create intuitive reports.
- Quick filter, easy to share and number of analytical functions to create custom calculations.
- Blending of sources can be enhanced to provide option for full outer blending.
- Join option between tables need to have more variety than equi-joins.
- Restriction of showing 16 distinct dimensional field in a report needs to be removed.
May 24, 2016
Dashboard Experts, Scorecard Headaches
We used Tableau Desktop to write reports that we would later publish to Tableau Server. It was used to create sales dashboards and scorecards for the sales operations and field management teams.
- Tableau Desktop has a great variety of visualizations. Once a dashboard is created refreshing the data is quick and easy.
- The calculations in Tableau Desktop are easy and logical. It suggests as you type, making it quick and easy.
- Parameters are very powerful ways to slice and filter the dashboards.
- It's weak with Tabular reporting. It also won't let you reference a specific cell in the same table, making scorecards difficult.
- It needs some more options on colors, shading, 3D, etc., to add variety to the visualizations.
- Dashboard creation isn't as easy as it could be. Lining different elements up, centering, etc., was sometimes difficult.
We just recently implemented Tableau here at Experticity and we've been having generally good experiences with it thus far. We're currently moving towards making Tableau the primary system for people throughout the company to consume data we provide. Tableau's dashboards make it easy for us to visualize what is going on with our business; the product has been great for speedy dashboard development and interactivity in terms of the capabilities users have in interacting with the dashboards via Tableau server.
- Rapid dashboard development. Tableau makes it extremely easy to visualize data in a multitude of ways and combine related pieces into a visually appealing dashboard for business users.
- Support for a wide array of data sources, the ability to blend or join data from disparate sources together.
- A large number of built-in chart and graph types to help users visualize data.
- global filters to quickly slice and dice data sets by whatever dimensions or metrics you desire.
- We have issues with Tableau calculating different attributes on date dimensions. Because of this, we've had to manually add additional fields to our date dimensional tables to support year over year reporting.
- Tableau server doesn't currently have support for business users creating their own calculated measures. This would be an extremely useful feature, especially for the users who we consider "power" users that want to perform further analysis on the reports the BI team provides.
- The live data streams seem to add a lot of overhead and really hinder the "interactivity" portion of the dashboards. Because of this, we've stuck mainly to using data extracts to ensure the dashboard interactivity is responsive.
May 24, 2016
Tableau is great at showing your value
Tableau is currently being used by approximately 20-30 users across the organization in different departments. There are two users in my department (Enterprise Transformation) including me that mainly use it for dashboard building and value tracking. Tableau has been helpful in providing value add to enterprise-wide initiatives where we use KPI's or metrics within specific departments. It saves massive amounts of time and continuous dashboard building that used to take hours if not days to develop. It makes it easier to update financial information from said metrics and provide numbers much, much quicker to senior leadership which in turn helps them make decisions easier and faster.
- Being able to provide key performing metrics much easier and quicker
- Reduced time building dashboards that would normally take hours or days
- Answers "what if" questions much easier and faster
- Although there are helpful links I can find via Google, I wish Tableau would make it easier to write calculated fields. For example, I needed to write a calculated field which included a parameter for percentage change in sales. Instead of using "excel" language in the IF, AND, OR I wish you could click on a button that answers your question and either walks you through on how to do it or basically does it what you ask it to do. I spend more time trying to figure out the field.
May 24, 2016
Data Analytic Queen
It is utilized departmentally on certain projects. I use Tableau Desktop both corporately and personally from an geo analytic standpoint.
- Population Health - customizable, UTD data that makes findings visible.
- Real Time analytics and SQL compatibility.
- The ability to change variables and not skew the remainder of your variables in an environment.
- The ability to create custom fields for data
- Lack of reporting ability
As a freight audit and payment company, Cass Information Systems has provided data visibility through our existing CassPort client web portal for several years; however, our data visualization features are limited (especially compared to tools currently available in the marketplace). Tableau Desktop (for use with Tableau Online) was, therefore, selected as the business intelligence tool to be offered to select Cass shipper clients. As chief data visualization content developer, my near-term goal is to pilot our roll-out effort across a few test clients. If pilot is successful, we will likely transition to Tableau Server and integrate Tableau content with CassPort.
- Low cost.
- Self-service format, very easy to implement with minimal IT resources needed.
- Flexibility...and data visualization features are much better than expected.
- If original data sources change (e.g. field name change, field added/removed, file name change), it can be tricky to remap new names to previous ones without disrupting existing sheets, dashboards, and/or storyboards; of course, this issue likely exists with any comparable tool.
- Large datasets require extraction to minimize latency. Extraction can take several minutes. Again, this may be something most other tools encounter.
- Although I previously mentioned ease of implementation as a strength, there is a learning curve using Tableau Desktop. BUT, there are useful online instruction videos...and our Tableau account mgr is available for assistance.
May 24, 2016
If you have even a little budget for software, and think at all visually, just get Tableau, ok?
Score 9 out of 10
Vetted Review
Verified User
We are using Tableau Desktop to:
- Explore data as part of the initial analytics step once data is loaded, to guess at fruitful paths to do the "numbers stuff"
- Share our progress internally and get feedback (vs. displaying endless tables)
- Create fairly complex dashboards for the client
- Once data for a given analytics study is CLEAN, this is the fastest way to profile the data and "feel" it out. With a few iterations of looking at Tableau worksheets and massaging the data further, you can get a very good idea of what the data says in a broad sense as well as good places to check for anomalies.
- At the other end of the value chain, experts in Tableau can design very complex dashboards for clients. This part is harder, but allows the marriage of the data alongside its context. This lets clients who are subject matter experts rapidly understand what the data says without information overload or having to learn all kinds of technical stuff about the data.
- For visual thinkers, you can play around with the data fairly rapidly (make sure to create an extract to optimize the data model first). Most analytics tools are essentially programming platforms with varying amounts of lipstick atop the pig. In Tableau, it's quite a bit more intuitive.
- I here there's this thing out there called Microsoft Excel. I'm not sure if anyone has heard of it yet. This magical product has something like 90-95% of the functionality of Tableau at the marginal price of *free*.
- Tableau costs a lot of money, albeit less than the big legacy guys. In fact, you guys paying for SAS, SAP, generic "enterprise" analytics software, what does it feel like to fuel a barrel fire entirely with your project budget?
March 17, 2016
Oj's Review of Tableau Desktop
Score 9 out of 10
Vetted Review
Verified User
PointClickCare is an IT software product company and leading provider of cloud-based EHR platforms for the long-term health care industry. We use Tableau Desktop as part of the business intelligence and analytics suite of the EHR product. Tableau is used to massage the data and produce dynamic, user-interactive reports for PointClickCare.
- Powerful visualization skills
- Easy to implement Tableau Calculations to achieve complex BI level analysis and reporting
- Integration with R
- Fast report render speeds across multiple data sources, agnostic of the data source technology
- Copy DS with Calculated Fields
- Easier Edit of Custom Colors
- Ability to Format Parameters and Filters individually
February 19, 2016
Sometimes it Tableaus you away
We currently use Tableau within our finance and marketing departments. Tableau helps organize and simplify the analysis of a great deal of restaurant data. We're also able to visualize data that can be difficult to compile within Excel. It also allows us to setup automation of data pulling, so it's as simple as going in and refreshing the data which will refresh an entire dashboard.
- Tableau creates visuals based on the data provided. It automatically chooses which visual works best and its often right.
- Tableau allows for an easy pivot-like approach to analyzing data.
- Tableau provides unique analysis, such as geo-mapping based on address data, which allows for a different perspective when looking at restaurant data.
- Tableau can be difficult in the way it automatically designates certain fields. It may not recognize a certain field as a date field even though it is.
- Tableau is still missing some of the Excel functions that are helpful or it just may not be intuitive in how to incorporate them if you're familiar with Excel.
- While the Tableau map is a great visual option, it can be buggy and still needs some work.