"The technical support is okay."
"All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
"It's very easy to use once you learn it."
"The technical support is very good."
"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."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"The installation could also be easier, and the price could be better."
"The solution is much more complex than other options."
"The initial setup is challenging if doing it for the first time."
SAS Analytics is ranked 5th in Data Mining with 3 reviews while SAS Enterprise Miner is ranked 8th in Data Mining with 2 reviews. SAS Analytics is rated 9.0, while SAS Enterprise Miner is rated 6.6. The top reviewer of SAS Analytics writes "A user-friendly, easy coding analytics solution that is good for typical predictive analytics". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good technical support but too complex and not open-source". SAS Analytics is most compared with KNIME, Oracle Advanced Analytics, Weka, IBM SPSS Modeler and IBM SPSS Statistics, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, RapidMiner and Alteryx. See our SAS Analytics vs. SAS Enterprise Miner report.
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