The ability to connect multiple data sources, build data extracts, and display said data in an automated, graphical, format is the key driving factor insuring I continue using Tableau. While there are plenty of other tools on the market, such as Report Builder or Crystal Reports, Tableau is the first I have used that allows for such wide spread data integration and presentation in a visibly pleasing format. Moreover, the data extract function of Tableau has hooked me into using their tool over any other. Specifically, the ease of extracting and automating report generation from these extracts.
Business Intelligence Analyst at a university with 501-1,000 employees
For me, the ability to connect multiple data sources, and display said data in an automated, graphical, format is the key driving factor.
What is most valuable?
How has it helped my organization?
Tableau has allowed us to build automated weekly dashboards that explain our organisation's pipeline. Moreover, these dashboards have resolved long standing time sinks which have freed up resources to focus on ever larger and more interesting BI projects. Additionally, we have used Tableau to increase the range and width of reports we are able to generate on a weekly basis.
What needs improvement?
Tableau development has an increasingly large learning curve. It is marketed as an upper management tool that anyone can dive into. However, trying to develop even simple tables within Tableau is an exercise in frustration and patience. The end results cannot be denied, but the path to getting there is not for the lighthearted.
For how long have I used the solution?
I have used Tableau now for 2 years.
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How are customer service and support?
Customer Service:
Tableau customer service has been incredible. Not only do they have an active community forum, but their account managers have been very pleasant to work with.
Technical Support:Out of five, I would rate technical support a solid 4.
Which solution did I use previously and why did I switch?
I have used Report Builder and Crystal Reports. Switching wasn't really my decision, as the other tools used were at different organisations. Since then, I have tried to move back to other reporting tools, but found them lacking in functions I hadn't even realised I had come to rely on!
How was the initial setup?
Setup of Tableau was the easiest of any reporting environment I have used.
What about the implementation team?
We implemented Tableau through a vendor team who were helpful in getting us off the ground. That being said, any reporting tool is dependent upon the data set it connects to. As such, real value has only appeared from Tableau after long usage and learning of how to use its myriad of functions.
What other advice do I have?
Stick with the development process, try a report over and over, and use Google to search out answers to those questions you think have no answer. Take it from me, if you can build it in Excel, then you can build it in Tableau. It just takes time and effort. Also, it may not look EXACTLY the same, but you can get it pretty close. In some cases even better.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Lead Knowledge Analyst - Advanced Analytics at a consultancy with 10,001+ employees
It was mainly helpful for visualizing proofs of concept for further implementations.
Valuable Features:
Dynamic interactive visualisation and publishing to server for distribution are the most valuable features of this product.
Improvements to My Organization:
Used on client projects, it was mainly helpful for visualizing proofs of concept for further implementations.
Room for Improvement:
Data preparation and joining different data sources is still not very intuitive and could be improved.
Use of Solution:
I have used it for three years.
Deployment Issues:
I had no issues with deployment, stability or scalability.
Customer Service:
Customer service is very good, very responsive and helpful.
Initial Setup:
Initial setup was very straightforward, no issues encountered.
Cost and Licensing Advice:
The pricing is complex and could be simplified.
Other Advice:
Some very good and fancy visualisations are possible with "tricks" (not very obvious how to do it). It is very helpful to use the Tableau community to see if the visualisation one is looking for is possible and how to do it. There are also many ways to get to a result, so don't look for one perfect solution as long as you get what you want.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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October 2024
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Lead Software Engineer at a tech vendor with 10,001+ employees
Easy and intuitive chart creation. Easy conversion between different chart types and crosstabs.
Valuable Features
- Easy and intuitive chart creation
- Easy conversion between different chart types and crosstabs
- Easy map-based charting
- Built in geo coordinates for cities, states, countries- Easy-to-create fields with formulas
- Ability to connect so many kinds of data sources
Improvements to My Organization
- Now, the business decisions are "data driven" based on Tableau
- There are standard interactive reports/dashboards.
- And there is a dedicated data analyst role.
Room for Improvement
- Tableau can handle only one joined/denormalized table, e.g. students, classrooms, teachers.
- Sometimes I need to analyze the joined/denormalized table from multiple perspectives in one single workbook.
- Create analysis both for students, teachers and classrooms
- To use simple drag-and-drop is not enough to show
- Average student age per classrooms or teachers because some students have classes multiple times in the same classroom
- Average grades per teacher
- Sometimes I would like to analyse both student-classroom and teacher-student or classroom-student relations out of the original joined/denormalized table.
- I think the Qlik Sense approach is better for this very specific case.
Use of Solution
I have been using it for nine months.
Scalability Issues
Tableau 8.3 did not scale properly.
I had four cores, but Tableu 8.3 was single-threaded. Tableau froze once in a fortnight, and without saving either *.tde or *.twb, they lost their sync.
Customer Service and Technical Support
I used and liked the documentation and user forum very much, and found there either a solution, a workaround or at least an explanation to my problems.
Initial Setup
Initial setup was easy.
Implementation Team
- We bought official basic and advanced Tableau trainings.
- My local Tableau instances (on my desktop and AWS instances) were installed by me.
- The central Tableau server was installed by the BI and administrator teams.
ROI
For a large company, the ROI is really fast.
Pricing, Setup Cost and Licensing
Always buying the latest Tableau Desktop Professional is too expensive for an individual analyst/developer.
Other Solutions Considered
My team evaluated 50 visual analysis tools in 2014. I also was one of the key developers of Cygron Datascope.
Tableau was selected because it is the common platform for both data analysts and regular users. Both groups can use it. Of course, analysts can utilize more advanced techniques, but even an average user can understand charts and do basic things after 60 minutes of training.
Other Advice
Go for it. It is an excellent product for the majority of analyses. However, for complex reports and decision support cases, custom application development might be needed.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Engineer-Product Development with 5,001-10,000 employees
Compared to OBIEE, Tableau is more visually appealing and has less performance issues.
What is most valuable?
Ease of use, In-Memory data storage, native connectors for different DB’s and many more
How has it helped my organization?
We're a service based company and we most of the times get adhoc requests for implementing reporting. Since Tableau helps us create rich and meaningful visualizations in a short time frame, it’s helping us improve our business.
What needs improvement?
ETL functionality to be incorporated and Server to be improved in terms of including more features in Web Authoring, Quick steps in replacing data source connection credentials etc.
For how long have I used the solution?
I’ve been using Tableau for 2.5 years.
What was my experience with deployment of the solution?
- Tableau Desktop: No
- Tableau Server: Not meeting the hardware requirements
- Otherwise, deployment is smooth.
What do I think about the stability of the solution?
No. Just that hardware requirements need to be met.
How are customer service and technical support?
Customer Service:
Excellent
Technical Support:Excellent
Which solution did I use previously and why did I switch?
I’ve used OBIEE. When compared to Tableau, visualizations are not visually appealing and I also had performance issues.
How was the initial setup?
Straight Forward in both Tableau Desktop and Server.
What about the implementation team?
In-house team
What was our ROI?
I cannot say a specific number, but lots of projects are using Tableau for their reporting solutions.
What's my experience with pricing, setup cost, and licensing?
We’d bought 10 licenses initially and cost was discounted by $100 per license. No day-to-day cost but, we’ll need to pay maintenance of $500 per year.
Which other solutions did I evaluate?
Qlikview, Pentaho.
What other advice do I have?
People should use Tableau because it is fast and visualizations will be rich.They can reduce the resource cost as reports can be done by a small team and does not require too much technical expertise.
Disclosure: My company has a business relationship with this vendor other than being a customer: Tableau partner
Consultant at a tech consulting company with 51-200 employees
Qlikview vs Tableau? I have to choose and I’m not sure
Most users love Excel, non-users hate it. When it comes to data visualization, Excel is generally dispised, except by those that have to make dozens of charts every single day. I call this the Excel Stockolm Syndrome. These are the forsaken data visualization users that keep making 3D pies when they should know better by now. Tired and overwhelmed. Not in the mood the learn yet another tool just to make those elusive “effective charts”. If you link good visualization to a tool they have no access to, you can be sure that the whole message is lost.
Becoming a Data Visualization Anarchist
I think things can be changed from the inside, improving the way people use Excel. I write for Excel users because I’m one of them. That’s not going to change soon. But I love data visualization, not the tools that make it happen. I specially like interaction, multiple charts and making them available on the web. And I need to manage more data (not big data, just more data). Some things can’t be done in Excel or require too much effort.
The Portuguese poet Fernando Pessoa has a funny short story called The Anarchist Banker. The idea is that only a banker can be a true anarchist, because only a banker can be free from “social fictions”, specially money… In data visualization, this means getting the tools out of the way, by learning them or avoiding them.
I chose the learning path and I’m learning R now. I always wanted to make those scatterplot matrices. And I want to play with the ggplot2 package. A programming language is covered but R is not going to pay the bills.
Enter Tableau and Qlikview
I will not complicate matters by discussing how I chose Tableau and Qlikview and not Spotfire, for example. I just want to choose one. Qlikview vs Tableau. Comparison articles like this and this are very helpful, but a man is a man with his circumstances. Each starting point is different from everyone else. Let me tell you what I think I know about these tools in this early stage.
Tableau
I like Tableau, I have to admit it. I like the fact that you don’t have to fight stupid defaults in design and formatting, because I share the same data visualization principles.
I like its enthusiastic and knowledgeable community. Let me give you two simple examples. I spent a lot of time making this horizon chart in Excel, and Joe Mako quickly came up with a better version in Tableau.
Then I tried to be creative with the bamboo charts and Joe Mako strikes again, with a better implementation. I’m starting to get nervous… (kidding)
I know and respect many Tableau users, not because of Tableau but because I share the same views regarding data visualization.
Apparently, maps in Tableau are good enough, so that’s a good point.
And as a blogger, I want to make my work available to the web, and Tableau Public is a nice option (my population pyramid).
The Guardian often publishes Tableau visualizations. I’d like to try that with the local newspapers here.
On the other hand, we know how stubborn some datavis experts are. Is Tableau that stubborn? Can clear vision and the right principles become a straitjacket? I really hate straitjackets (“the idea of”, never actually tried one…)
In my country, Tableau is virtually unknown and I am not sure if I want to sell shoes in Africa.
Qlikview
I know even less about Qlikview. The first chart I see in its video is the pie chart above. Not exactly a shiny example of good data visualization principles.
Apparently there is a very active Qlikview community on Linkedin but not so much on Twitter. Probably this is meaningful.
I keep reading that Qlikview is better than Tableau when it comes to making dashboards, while you should explore the data with Tableau. It’s a good point in favor of Qlikview (that’s what I need now). Extensions and the market seem to be interesting too.
Qlikview has several business partners here. Actually, I was invited to work in some Qlikview projects in 2013 (obviously I have to learn the basics until then). They can pay a lot of bills.
Its not always about features
Not everything is black and white, not everything can be decided based on feature-by-feature comparison. Not everything is heart, not everything is reason. If I choose Tableau, my data visualization skills will improve a lot. Qlikview is harder to predict. I’m sure there are many users that dislike the pie above. If not, Qlikview can be more, hummm, challenging.
What I’m going to do
I mentioned those Qlikview projects, but I’ll try to remove them from the equation, at least for now.
I have a simple dashboard in Excel and I’d like to create Tableau and Qlikview versions. That’s probably one best ways to evaluate a tool, using my own work.
So, can you help me?
I’d love to learn from you. Can you answer questions like:
- How do they compare regarding maps? Is it simple to add your own maps?
- Is it true that it’s easier to make a a centrally designed dashboard in Qlikview, while Tableau has a more exploratory nature?
- How can I share a Qlikview chart in my blog?
And please don’t tell me I have to learn both…
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Developer at a tech consulting company with 51-200 employees
Tableau 8 is here: A quick review of my favorite features.
When you say Business Intelligence it often conjures up different visions. For example, when I tell people I work in BI, I get reactions ranging from blank stares to “Oh…so computer stuff,” to my personal favorite, my barber asking if that meant corporate espionage. While I do like to entertain the image of myself as a slightly geeky (and perhaps less fit) James Bond, it probably isn’t what most people think of when they think of working in Business Intelligence.
My bet would be that the image in most people’s minds is probably a visual of an analytic dashboard. Dashboards, after all, are the face of Business Intelligence. The software that enables us to convert raw data into dashboards is crucial to enabling business users to consume information in a user-friendly form and then take that information and make informed business decisions. It’s all about taking data and telling the story in a meaningful, actionable way. With the release of Tableau 8, one of the leading BI vendors is upping their game.
Tableau Software is rated as one of the leaders in BI vendors according to Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms and this past March they celebrated the release of their best version yet. I’ve had exposure to lot of different BI visualization tools over the years and Tableau is definitely one of my favorites. The tools they provide are easy to use, intuitive, and powerful. This allows for rapid development and deployment of interactive dashboards. These dashboards give the data context and help make it meaningful to the end user.
While Tableau 8 is jam-packed with new features, I wanted to concentrate on just a few of my favorites.
- Forecasting -
Visvero is consistently reminding our clients that business intelligence is all about finding the stories hidden with the data. All data has a story to tell, but without help it can be difficult to understand what that story is. Giving the proper context to raw numbers allows us to look at historical data and understand the story so far. However, like that ever frustrating cliffhanger ending or “to be continued…” notation after an enthralling TV show, we are always nagged by the curiosity of what comes next. What is the next chapter in our story?
In the business world this isn’t just a nagging curiosity. Many times it comes down to the difference between success and failure. Without the ability to intelligently look to the future and anticipate the demands of tomorrow, you are endangering the future of your business. It’s no wonder then that being able to forecast data (predictive analytics) is one of the most popular demands for BI solutions. In Tableau 8 it is about as easy as it gets. Simply, with a few mouse clicks, you can add a forecast in seconds, and easily tweak your forecasting model to suit your needs.
- New Visualizations -
Of course, one of the biggest parts of any business intelligence tool is what visualizations it can create. In Tableau 8, the visualizations are diverse and very informational. New options like word clouds and bubble maps are great additions. However, my personal favorite is the tree-map. Not only are tree-maps great chart types for giving context, the way Tableau handles tree-maps allows for bar charts of tree-maps. This combination can be a powerful way to show relative proportions across categories in a beautifully simplistic way. It’s easily, in my opinion, one of the most powerful of the new view types.
In addition, Tableau 8 now supports overlapping objects on your dashboard. Anyone who has spent a significant amount of time with visualization tools can tell you, arranging the design and layout of a dashboard can often be a very tedious and frustrating task; especially when trying to make the most of your screen real estate. Tableau 8 makes laying out the dashboard nearly hassle-free by enabling you to overlap visualizations. This empowers you to make more efficient use of screen space and easily mold your layout to your needs.
- Visual Grouping / Set Improvements -
The concept of groups and sets are nothing new to Tableau, but with version 8 they’ve been shined up and improved. Grouping can now be done visually and on the fly as you select objects in your view. Those groups are quickly color-coded to “paint” pre-defined selections to help guide the user. The sets functionality has also been streamlined and improved to allow for more advanced set comparisons. This gives you more analytic power than ever before. Pairing dynamic calculated sets with painting using visual grouping makes Tableau 8 even more powerful as an in-depth analysis tool.
- Subscriptions -
Building the best dashboard in the world isn’t going to be of any use if the users who need them aren’t even looking at them. We all know that often management is busy in meetings and completely forget to review their reports before heading to the next one. That’s where the new subscription feature in Tableau 8 comes to the rescue. This feature allows users to subscribe to one or more worksheets and get scheduled emails with images of your selected worksheets along with links to the live reports at your fingertips.
Tableau is always pushing the limits, and their new version is certainly packed with features to be explored and used. Check out their website for a more in depth look at the new tool, and try to catch the Tableau team on tour to see more of what Tableau has to offer! These are just a few of the new features in Tableau 8, but they are some of the features I am personally excited to see and use in my own projects. What features are you excited to try out in the new release? Let me know below in the comments.
Source: www.visvero.com
Disclosure: I am a real user, and this review is based on my own experience and opinions.
The dashboard functionality in Tableau makes it the go to app for distributing data in bite sized packets to people who don't have the time or inclination to dive deeply into the metrics. A good dashboard gives the data consumer reassurance that everything is ok at a glance, and helps highlight outliers for further investigation.
Industry Analyst with 51-200 employees
The future of BI in two words
Disclosure: I am an industry analyst focused on self-service business intelligence and data analysts. QlikView and Tableau user. Current clients include QlikView, Spotfire, and Tableau.
What’s the future of BI? Last fall, one sharp source of mine answered, “Two words: Tableau and QlikView. You didn’t hear it here.”
Those are startling words coming from that source, a well-regarded BI consultant known for big-name clients and their big deployments.
At about the same time, a column of mine appeared in Information Management titled “Don’t call it BI” — in which I mentioned Tableau and a few smaller tools. A reader emailed, “You should also become familiar with QlikView.”
My many Tableau-using friends say QlikView is hardly worth a look. Poor visualization! Control panels! Scripting! “It’s so — yesterday,” one emails.
It’s “yesterday” to some yet it’s the future to others. It’s time for a look.
Both Tableau and QlikView promise the same magic: Listen to one pitch and you might think that you’re listening to the other. Each sets itself up against traditional, big-iron BI. Each claims to empower business users by giving them all the data and control they need for free discovery. Each is easy to use. Go inside each tent, though, and you see how different they are.
Metaphorically speaking, Tableau is West Coast. It’s built for discovery by the individual. Just show up and ride on the breeze, the demos seem to say, free as a seed fairy on a meadow. The inevitable mistakes of discovery are quickly undone and forgotten. Create the most dazzling visualizations — “vizzes” — thanks to built-in best practices that nudge you toward beauty and punch.
One of the most attractive aspects is users’ effervescence. They seem to be riding on the wind and solving business problems all at once. Their rapture sweeps me away every time I’m near it.
If Tableau is West Coast, QlikView is East Coast. Its community is bigger, the third-party add-ons are more plentiful, support seems more available, and overall workflow feels more structured. It too is built for discovery, but it’s discovery rooted in community. The “associative experience” reveals relevant data, and you can create your own views and in quick succession ask any questions, anticipated or not. But unless you’re working alone, someone else probably defined the data and its structure for you. This is QlikView’s counterpart to Tableau’s meadow, though it’s more like a manicured garden than Tableau’s unfenced field of daisies.
QlikView’s boundaries may be more apparent than Tableau’s, but I suspect that there’s at least as much power there. I just haven’t yet been able to judge it for myself well enough.
The trouble for me is that I’ve used it alone, as if stuck in a remote cabin. Though even Thoreau might have liked the “associative experience,” QlikView really comes alive only when you link to others.
As in Tableau, any QlikView user can create or modify a workspace, a document linked to one or more sets of data with any number of displays. Unlike Tableau, QlikView isn’t so finicky about data; for one thing, linking to Excel spreadsheets is easier.
I can’t speak with assurance just yet on the differences between QlikView and Tableau Server — more on that later — though I think I see a QlikView edge there.
One other advantage for QlikView is clear: built-in collaboration. True, Tableau workbooks can be passed around in a variety of ways forever. But as with our atomized life on the West Coast, such a community would be for me, the hypothetical manager of a group, too loose for comfort.
Tableau users will shudder, as if about to be extradited back to Maine. “Great, central authority all over again,” they would say. Yet when I imagine myself managing a group, I would feel disabled without a tight, integrated social structure.
“It’s the soft stuff that matters,” TechTarget research director Wayne Eckerson likes to say. Such stuff is what interests me more than anything: Who are these people and how did they choose what they did?
Have most Qlik or Tableau users chosen their tool the way most of us choose spouses, religion, and politics — guided by our relationships? How many software shoppers qualified their candidates with lists of requirements and features and followed through based on evidence? Did they do what a veteran sales person at a large BI vendor sees?: “They gather requirements, they issue RFPs, they visit trade shows, they talk to vendors, and ultimately they pick one because they like its color.”
I think it’s usually about “color,” color being the cover story for something most people can’t quite describe. For now, though, I’m happy to say that at least my first question has been answered: Yes, QlikView belonged on that list in “Don’t call it BI.”
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Business Intelligence at a tech services company with 5,001-10,000 employees
Easy to use with great customization capabilities and is a powerful data visualization tool
Pros and Cons
- "There are already connectors to almost every single major database and service that you can possibly think of."
- "Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that."
What is our primary use case?
I use the solution mainly to monitor the main KPIs and to basically show aggregated numbers of very important metrics and certain business environments. Basically, that's what I use Tableau for.
What is most valuable?
You can basically do anything with it. There's a lot of customizations you can try to explore when using Tableau. You can do a lot of things in Tableau. Even though some things are maybe not as straightforward, there are lots of solutions you can find online. There's a very good community where you can specifically find the answers to any kind of problems that you might have with Tableau. That's what I like about it.
It is easy to use. That said, it makes it possible so that you don't only make, for example, a very simple bar chart. There are lots of different charts that you can make in Tableau. Even though it requires customization and sometimes a lot of googling to find out how to do certain things, that's what makes it powerful. You can basically do everything with Tableau.
In my experience, it is stable enough.
There are already connectors to almost every single major database and service that you can possibly think of.
The installation is very straightforward, very simple.
What needs improvement?
In the last year, I haven't really used Tableau much. Therefore, I don't really know what new features there are currently or if there are fixes or improvements that have occurred in the last year.
Maybe the price could be a bit cheaper, especially if you're a personal developer that uses Tableau just to explore smaller data sets and you're not a company or something like that. Specifically for learning purposes, it could be cheaper. I know there is a student license, however, there could be a cheaper option for people who are maybe just starting to explore data and to use data visualization tools.
For how long have I used the solution?
I've used the solution for three and a half years. I don't use it in my current work at the moment.
What do I think about the stability of the solution?
The stability is fantastic. There are no bugs or glitches. Its performance is reliable. It doesn't crash or freeze.
What do I think about the scalability of the solution?
While my understanding is that the solution can scale, since my work basically was project-based, we didn't have a lot of occasions where we had to really scale up in our work. I can't exactly say how good or not good the scalability is. That said, in my personal experience, I didn't have any problems with it.
The users on the solution varied from project to project. Usually, it was in the dozens or so.
How are customer service and support?
I've never contacted technical support in the past. I can't speak to how helpful or responsive they are.
Which solution did I use previously and why did I switch?
The very first data visualization tool I used was Tableau. Tableau was how I was introduced to the field of data. Before Tableau, I hadn't actually explored any other data visualization tool.
How was the initial setup?
The installation is very straightforward and simple.
The implementation process took at most five minutes. It probably takes longer to download the installer than it is to actually install the file depending on the internet connection.
Typically five to six people were needed for deployment and maintenance tasks. That would depend on the scale of the project, however.
What about the implementation team?
I was able to handle the implementation myself. I didn't need any assistance from any implementors or consultants.
What's my experience with pricing, setup cost, and licensing?
You do need to pay a licensing fee, however, there aren't any additional costs.
What other advice do I have?
I was previously a customer and an end-user.
I would recommend the solution to other users and organizations. It's a very powerful data visualization tool.
I would rate the solution at least a nine out of ten. There's always room for improvement, however, in my personal experience, Tableau is up top.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Thanks Jorge!