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."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."
"Good data management and analytics."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is able to handle quite large amounts of data beautifully."
"The most valuable feature is the decision tree creation."
"I like the way the product visually shows the data pipeline."
"he solution is scalable."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"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 most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"The product is stable, reliable, and scalable."
"The technical support services are good."
"I use Visual Analytics for enterprise reporting."
"The solution is much more complex than other options."
"Technical support could be improved."
"The user interface of the solution needs improvement. It needs to be more visual."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"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 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."
"The product must provide better integration with cloud-native technologies."
"The installation process can be a bit complex."
"Colours used on report objects"
"The product is expensive and needs the integration of more languages."
"The solution is a little weak at the front end."
"The solution should improve its graphics."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"SAS Visual Analytics could be more user-friendly."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
SAS Enterprise Miner is ranked 7th 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.