We performed a comparison between SAS Analytics and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."It has facilitated timely analysis results with quality work and meaningful output."
"I use SAS daily to analyze data, produce reports, and other outputs."
"The team immediately resolves the issues."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"The most valuable feature is the ability to handle large data sets."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"Good data management and analytics."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The technical support is very good."
"I like the way the product visually shows the data pipeline."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The solution is very good for data mining or any mining issues."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"They could enhance the AI capabilities of the product."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"This solution should be made more user-friendly."
"The installation could also be easier, and the price could be better."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"Technical support could be improved."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"Virtualization could be much better."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The solution is much more complex than other options."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The user interface of the solution needs improvement. It needs to be more visual."
SAS Analytics is ranked 5th in Data Mining with 10 reviews while SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews. SAS Analytics is rated 9.2, while SAS Enterprise Miner is rated 7.6. The top reviewer of SAS Analytics writes "Provides comprehensive data analysis tools and functionalities, but its higher pricing and potential stability issues may present drawbacks". On the other hand, the top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". SAS Analytics is most compared with KNIME, IBM SPSS Statistics, Weka and IBM SPSS Modeler, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and Alteryx.
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We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
