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."
"The most valuable feature is the decision tree creation."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"he solution is scalable."
"Good data management and analytics."
"The solution is able to handle quite large amounts of data beautifully."
"The solution is very good for data mining or any mining issues."
"The technical support is very good."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"It provided the capability to visualize a bunch of data in an organized way."
"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 technical support services are good."
"I use Visual Analytics for enterprise reporting."
"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."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"It integrates well with SAS, making it simple and quick for developers."
"The ease of use can be improved. When you are new it seems a bit complex."
"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."
"The solution is much more complex than other options."
"The product must provide better integration with cloud-native technologies."
"Virtualization could be much better."
"The initial setup is challenging if doing it for the first time."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"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."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The product is expensive and needs the integration of more languages."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The installation process can be a bit complex."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
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.