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."
"I like the way the product visually shows the data pipeline."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The technical support is very good."
"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."
"he solution is scalable."
"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 alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"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."
"The technical support services are good."
"It's relatively simple to create basic dashboards and reports."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"It provided the capability to visualize a bunch of data in an organized way."
"It's a stable, reliable product."
"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 ease of use can be improved. When you are new it seems a bit complex."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The user interface of the solution needs improvement. It needs to be more visual."
"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."
"The product must provide better integration with cloud-native technologies."
"Virtualization could be much better."
"The licensing ends up being more expensive than other options."
"Colours used on report objects"
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"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."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The solution should improve its graphics."
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.