We performed a comparison between SAS Enterprise Miner and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"he solution is scalable."
"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."
"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 solution is able to handle quite large amounts of data beautifully."
"The technical support is very good."
"The solution is very good for data mining or any mining issues."
"It's a stable, reliable product."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Simplifies report designs and quickly displays tables and graphs."
"It provided the capability to visualize a bunch of data in an organized way."
"Data handling is one of the best features of SAS Visual Analytics."
"The speed to display charts and react to users' choices is great."
"We've found the product to be stable and reliable."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"The ease of use can be improved. When you are new it seems a bit complex."
"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 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 visualization of the models is not very attractive, so the graphics should be improved."
"The user interface of the solution needs improvement. It needs to be more visual."
"The product must provide better integration with cloud-native technologies."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"I haven't come across any missing features."
"SAS Visual Analytics could be more user-friendly."
"The solution is a little weak at the front end."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The installation process can be a bit complex."
SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. SAS Enterprise Miner is rated 7.6, while SAS Visual Analytics is rated 8.2. 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". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio, KNIME and SAS Analytics, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Amazon SageMaker.
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.