JMP Pro offers all the capabilities of JMP, plus advanced features for more sophisticated analysis including predictive modeling and cross-validation techniques.
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SAS Enterprise Guide
Score 9.6 out of 10
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SAS Enterprise Guide is a menu-driven, Windows GUI tool for SAS.
JMP Pro is perfectly suited for statistical analysis but users should have some statistical knowledge before using it since there may be some terms/functions in the software that are not widely used in other fields. No prior coding experience is needed to use JMP Pro. However, most people doing data processing would prefer to code their analysis.
SAS Enterprise Guide is good at taking various datasets and giving analyst/user ability to do some transformations without substantial amounts of code. Once the data is inside SAS, the memory of it is very efficient. Using SAS for data analysis can be helpful. It will give good statistics for you, and it has a robust set of functions that aid analysis.
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.
I think the most useful aspect of SAS Enterprise Guide is the ability to use a point-and-click interface to create graphics, transform data, and perform statistics. The best part is that SAS Enterprise Guide creates base SAS code from the process, making it easy to reproduce analyses.
SAS Enterprise Guide makes creating summary statistics about as easy as it gets. If one doesn't know proc means or proc tabulate, one can use SAS Enterprise Guide instead.
The time-series forecasting procedures within SAS Enterprise Guide produce fairly good results. SAS Enterprise Guide makes time-series model comparisons relatively straight-forward.
SAS Studio has some great examples that can be implemented. Adding a filter to the output datasets for one.
Some issues around having to enter my password every time I open it up. Some people are having this issue and others aren't. SAS admin is at a loss to work out why it's occurring.
It's not all bad, but I don't believe that an enterprise purchase of SAS is worth the expense considering the widely available set of tools in the data analytics space at the moment. In my company, it's a good tool because others use it. Otherwise, I wouldn't purchase a new set of it because it doesn't have some of the better analytical functions in it.
I did not use the technical support of SAS EG. I can say that I have had hard time to find online tutorials or projects for SAS EG. For instance, it is hard to find completed researches or designed algorithms used with SAS EG. Sometimes it just depends on user's skill set and experience with databases and programming.
I've not worked hands-on with the implementation team, but there were no escalations barring a few hiccups in the deployment due to change in requirement & adoption to our company's remote servers.
The intuitive interface JMP Pro offers is more interactive than R studio, but since coding is not required in JMP Pro, programming analysis in R studio is more convenient in some aspects. JMP Pro is able to quickly analyze multiple variables and produce reasonable outputs and models, which is valuable for users doing data analysis.
Why I prefer SAS EG: Data processing speed is much faster than that R Studio. It can load any amount of data and any type of data like structured or unstructured or semi-structured. Its output delivery system by which we have the output in PDF file makes it very comfortable to use and share that file to clients very easily. Inbuilt functions are very powerful and plentiful. Facility of writing macros makes it far away from its competitors.
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.
Positive (cost): SAS made a bundle that include unlimited usage of SAS/Enterprise Guide with a server solution. That by itself made the company save a lot of money by not having to pay individual licences anymore.
Positive (insight): Data analysts in business units often need to crunch data and they don't have access to ETL tools to do it. Having access to SAS/EG gives them that power.
Positive (time to market): Having the users develop components with SAS/EG allows for easier integration in a production environment (SAS batch job) as no code rework is required.
