IBM SPSS vs Tableau Desktop

• SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
• Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
• SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
• SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
• In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.

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• With Tableau you do not need to have technical knowledge to do the data integration and you get a quick response of what you are looking for, being your visualization of high quality.
• We can say that it is free software and it is not a limited version

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• SPSS is not free and is fairly pricey.
• For those requiring advanced procedures not on SPSS, programmable coding, like in R Statistics, may be more limited and not as robust and use of R or other programs might be needed.
• Statistical Package for Social Sciences and can only be used to perform only statistical operations. Further purchases of other packages will be required.
• Default graphics are far from publication quality. Generally, it’s better to use other programs for graphics.
• Information about effect size and confidence intervals is missing for many techniques.

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• 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

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• IBM SPSS has allowed me to quickly analyze data for research.
• IBM SPSS has allowed me to complete analyses in order to submit research findings to conferences and complete manuscripts.
• IBM SPSS has enabled me to meet research objectives set out in grant proposals.

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• Tableau has provided my clients with the information necessary to allocate multi-million dollar research budgets effectively, ensuring the company is getting the most bang for its buck.
• Tableau has given my office the ability to present data quickly and easily in a professional format that customers can understand, and has them returning frequently for additional analysis and projects.

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