FluidSurveys (Discontinued) vs. Tableau Desktop

For surveys, and for centralized info-gathering, FluidSurveys provides an excellent solution. There are other programs out there which provide a wider range of solutions (i.e., they can be used for surveying AND comprehensive online engagement, rather than just a data-gathering type of consultation); however, for programming and implementing surveys, FluidSurveys has an effective variety of strengths and options that make it optimal for users who are focused specifically on surveys.

The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

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• User-friendly. For the majority of the general and basic tools you can use with FluidSurveys to build surveys are simple to use and intuitive. When certain issues come up, the service is quick (chat room) and effective.
• Anonymity: the software has the reputation of being safer in terms of safeguarding private information the respondents share by answering surveys (this is mainly due to the fact that the servers are in Canada). Thus, indirectly, they increase response rates.
• Extensive possibilities: FluidSurveys offers a plethora of possibilities and options that really renders the experience interesting in terms of micro-managing each details of the surveys you are sending out there. When the invitation leaves by email, it is exactly how you want it.

• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

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• There should be more flexibility and customizability with regard to survey design (e.g. background, fonts...)

• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

Note: I am responding to this question as a user of the system and not a representative of my organization.

On a personal level/as a user only, I would definitely continue to use FluidSurveys.On a personal level/as a user only, I would definitely continue to use FluidSurveys.

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

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I think the average person can very quickly pick up on the basics of the system: they would have no problems programming and launching a basic survey. Organizations may benefit from having people of different backgrounds getting their hands dirty in the system: at a minimum, both web programmers and opinion research advisors should be solicited for input or help.

Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

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Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

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It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

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Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

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Although I do not have much experience with Survey Monkey, the only two reasons why I choose FluidSurveys is that clients demand it (privacy and anonymity) and because managing multiple surveys at a time is easier. As for ODK Collect, I think it is a valuable alternative to FluidSurveys if you have time to learn the coding (not very complicated). ODK is a little less user friendly and you cannot address small details as you can with FluidSurveys (e.g.: formatting).

I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

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Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• Confidentiality of data is a big concern for our company, and we feel more secure working with a Canadian company. Our clients feel more secure, too.

• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info