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 is able to connect to all major platforms, and all the smaller platforms that I have come across."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"The technical support is okay."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"I use SAS daily to analyze data, produce reports, and other outputs."
"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."
"The most valuable feature is the decision tree creation."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"I like the way the product visually shows the data pipeline."
"The technical support is very good."
"The solution is very good for data mining or any mining issues."
"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."
"he solution is scalable."
"The solution is able to handle quite large amounts of data beautifully."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"They could enhance the AI capabilities of the product."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"The natural language querying and automated preparation of dashboards should be improved."
"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."
"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."
"Technical support could be improved."
"The initial setup is challenging if doing it for the first time."
"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 visualization of the models is not very attractive, so the graphics should be improved."
"Virtualization could be much better."
"The ease of use can be improved. When you are new it seems a bit complex."
"The product must provide better integration with cloud-native technologies."
"The user interface of the solution needs improvement. It needs to be more visual."
SAS Analytics is ranked 5th in Data Mining with 11 reviews while SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews. SAS Analytics is rated 9.0, 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.