JMP Pro vs SAS Visual Analytics

• I think the most awesome thing about JMP Pro is the Profiler component. The Profiler component makes sharing analyses interactive on the web using interactive HTML5. The Profiler makes showing the impact of interaction effects so easy. It's the best statistical software feature I think I've ever come across.
• JMP Pro does dashboards well. It is relatively straight-forward to create four pane dashboards that automatically update. I think it's nice.
• I think JMP Pro graphics are a massive improvement when compared to the graphics produced by its parent company - SAS. JMP Pro's features are vast, and easy to use and understand.

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• Our staff are familiar with it as it is a common tool. Our training and implementation was short.
• Installation was easy. Our staff was able to deploy to the receiving department relatively quickly. Though the download was a pretty good size.
• Seems to crunch through large volumes of data (millions of records) pretty quickly as I've received no complaints on this front from staff.

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• Statistical testing columns in cross tabs. You have to do that one at a time or write a script.

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• Customizing a report as per the user requirement.
• Adding more color and font styles. Presenting data in a more colorful way.
• The website has a lot of tutorials which is more inclined to the technical side. Maybe add more to the presentation side as well.

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• The overall ROI for JMP Pro was positive because of the Profiler option. This makes communicating the results of regressions as easy and complex as needed. It's such an awesome feature, I wonder why it wasn't offered before.
• If JMP Pro didn't have the Profiler feature, I think I would still recommend using JMP Pro, but the recommendation is not a slam dunk. The software has its own programming language, which is not well-known and requires effort to debug.
• JMP Pro's dashboards are well-built, and provide a positive ROI from the perspective of creating real-time, interactive reporting. It's very nice for this feature.

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• SAS Visual Analytics licensing cost should be reduced to enable users to use it in mass scale.
• More statistical and mathematical equations and theories should be converted into SAS functions for reusing.
• Because of enriched ETL and reporting capabilities SAS Visual Analytics is most preferred by business users.

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