We performed a comparison between SAS Analytics and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"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 has improved the level of efficacy and validity of our reports."
"It's very easy to use once you learn it."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"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."
"he solution is scalable."
"The solution is able to handle quite large amounts of data beautifully."
"The technical support is very good."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is very good for data mining or any mining issues."
"I like the way the product visually shows the data pipeline."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The natural language querying and automated preparation of dashboards should be improved."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"They could enhance the AI capabilities of the product."
"Support at universities used to be limited, but I hear this is changing."
"This solution should be made more user-friendly."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"The user interface of the solution needs improvement. It needs to be more visual."
"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."
"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."
"Technical support could be improved."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The initial setup is challenging if doing it for the first time."
"The ease of use can be improved. When you are new it seems a bit complex."
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 FICO Model Builder. See our SAS Analytics vs. SAS Enterprise Miner report.
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