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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Cortana (discontinued)
Score 8.0 out of 10
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Microsoft's Cortana was a general purpose productivity assistant, that has been deprecated as a standalone product.
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.
It's easy for anyone who is expecting some simple AI problems like fetching the keywords, understanding the intent, language translation, etc. to be solved from an existing database and all they need is to connect to their APIs via a subscription model. But for complex use cases, there is still room for improvement like customization of underlying AI models for a specific use case like identifying some unique identifiers with respect to industry.
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.
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.
IBM Watson Assistant has been early into this market and has improved a lot over time compared to Azure AI Cortana. More documentation related to the services. But Ease of integration Azure AI ranks over IBM Watson Assistant. And again in terms of services offered under the ecosystem, Azure AI precedes IBM Watson Assitant.
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.
Difficult to ascertain the ROI as we are a software house who have developed a module in our application using Cortana. However for companies that use our software I would say the use of sentiment analysis in our application could free up at least 1 full time resource to be used elsewhere in their organisation.
