JMP vs. Tableau Public

Many organizations have seen their analytical capabilities, and the results from them, plateau. Of these, we've observed, that most of them didn't appreciate that they could do (even) better. These companies should definitely consider JMP. Any company that is research-based can benefit from accelerating their research, learning more in less time, effort and cost, with JMP's tools. Basically, any organization that is hungry enough for improvement to seek out better ways is suitable for JMP. Those who are happy with their current performance are not likely to consider the changes, though they were not major impediments by our clients, required.

Tableau Public is great, especially if you're new to the platform or considering implementing it within an organization. The Public version has most of the capabilities of the full version, with extensive community documentation to troubleshoot issues you may run into. Additionally, there are many resources to check out Public workbooks from other users and communities: a GREAT learning resource to figure out new, innovative ways to visualize and present data. It is perfect for evaluating public datasets, for doing exploratory data analysis, or contributing to cross-organizational or extracurricular projects that may benefit from more sophisticated data analysis and exploration. Tableau Public, because it stores to the cloud and has limitations on connectivity (ie, cannot connect to SQL servers) is not suited for confidential, financial, PII, etc., data, and care should be taken to avoid including sensitive data in any of the Tableau Public workbooks used by an individual or organization.

Incentivized

• Graphs are more detail-oriented and contain statistical inferences.
• Everything is drag and drop. Pretty much easy to use and handle and also to learn.
• Importing and exporting the results are easy and they can be attached with any other tool for processing.

Incentivized

• Tableau Public can work with data that are differently formatted, such as MS Excel, .txt file, Google Sheets, not sure about MS Access.
• GUI interface of Tableau Public is not that hard to start working on; Also, it can generate codes for the operations and so it is relatively easy to visualize and correct mistakes.
• Lots of Tableau Public users upload their work to the online community, users can easily find very good figures/graphs that are similar to their problems and so they can use these figures/graphs as templates to modify and make their own ones.

Incentivized

• Loading a large amount of data is very tedious as it takes a lot of time and it crashes very frequently.
• I dislike the limited options they have in terms of statistical models or analysis tools.
• Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to the numeric value.

Incentivized

• The biggest drawback to the Public version of Tableau is that any data used in the program is 'public' and therefore not secure: workbooks are saved to the cloud, rather than locally
• Tableau Public limits data ingestion to 10 million rows per source
• Limited connections - can't connect to SQL databases to ingest data (must be through CSV, Access, TDE, or text files)

Incentivized

I've mentioned this earlier, but the licensing agreements are very prohibitive. I work with a company where my role has become less and less doing my own analytics and more and more trying to help other people in that role. As we are bringing more people "up to speed" it's hard to justify licenses for 2-3 people when they aren't full time, Six Sigma black belts just looking at stats all day. A floating license option would make this a no-brainer, since these people could continue their other work and add JMP usage as they grow their skills, but this is not something JMP/SAS has offered.

It's free, right? I'll keep using the free version. So the real question to ask is this? Will I pay $999 for the Personal version or $1,999 for the Professional? Yikes! That is a big stretch. I'm not sure about that. The product comparison chart is at: http://www.tableausoftware.com/public/comparison

The GUI interface makes it easier to generate plots and find statistics without having to write code. The JSL scripting is a bit of a steep learning curve but does give you more ability to customize your analysis. Overall, I would recommend JMP as a good product for overall usability.

Incentivized

Tableau public is a great training tool to understand the basics of Tableau before buying it. A great tool to extend Excel's visualization and to publish data for others. Not useful for anything you need secure. No ability to access databases. Static information only.

The helpful tips are great for new users. I am always able to find solutions to a tool I am working with through the hep section. And my area has a users group that meets each quarter to share ideas and view upcoming JMP revisions.

Incentivized

I have not yet required to contact support as the documentation and help i found online has always worked so far

Incentivized

I have not used your online training. I use JMP manuals and SAS direct help.

I found it sufficient, and fast. I could easily "kick the tires" with Tableau on my data so I got up and running fast.

Start at the end and work backward. Identify the business case / issue and questions the end users have, then identify the data needed, and where to get it.

Incentivized

We actually use both JMP and IBM SPSS, but I think JMP's complexity lends itself to more in-depth statistical analyses. SPSS is designed for that as well, but we tend to use it more for quicker analyses, and we have found that JMP is far more powerful.

Tableau public is Free and no subscription is required whereas Tableau Desktop is a paid subscription. if there is no private or confidential data it's easy to Tableau public and share reports with people. Tableau public has same features and options same as desktop. its easy for students or beginners to signup and start learning/build reports.

• JMP has resulted in literally millions of dollars in ROI due to identification of correctable errors.
• Use of JMP control charts JMP has greatly simplified and improved interpretation of Lean, FMEA, and PDSA type analyses.
• Use of JMP has enable the testing and subsequent selection of 'best practices' saving uncounted hours in false starts based on 'collective experience'.
• The down side is that JMP is not a 'magic box', one still has to take care in applying the tools properly. Moreover, time-consuming approaches using JMP may still be the 'order of the day', because the service (even power user) is unaware of significant shortcuts available for free on the JMP community website.

Incentivized

• We have saved costs on Dashboarding tools thanks to the free tools within Tableau Public
• Streamlined reporting
• Time saved with easier data preparation features
• Professional looking dashboards and visualisations

Incentivized