We performed a comparison between IBM SPSS Modeler 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."You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."
"Stability is good."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"It is very scalable for non-technical people."
"It will scale up to anything we need."
"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"The product is stable, reliable, and scalable."
"Great for handling complex data models."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The flexibility of the configuration is valuable to me."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"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."
"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."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"The platform's cloud version needs improvements."
"Dimension reduction should be classified separately."
"Customer support is hard to contact."
"C&DS will not meet our scalability needs."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"I can say the solution is outdated."
"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 be more user-friendly."
"It is not as mature as competitors such as Tableau and QlikView."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"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 solution is a little weak at the front end."
"The solution should improve its graphics."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. IBM SPSS Modeler is rated 8.0, while SAS Visual Analytics is rated 8.2. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". IBM SPSS Modeler is most compared with Microsoft Power BI, KNIME, IBM SPSS Statistics, RapidMiner and Amazon SageMaker, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Alteryx.
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.
