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."In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"We have full control of the data handling process."
"The visual modeling capability is one of its attractive features."
"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."
"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"It works fine. I have not had any stability issues; it is always up."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"It is very scalable for non-technical people."
"The flexibility of the configuration is valuable to me."
"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 product is stable, reliable, and scalable."
"It integrates well with SAS, making it simple and quick for developers."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"It provided the capability to visualize a bunch of data in an organized way."
"Great for handling complex data models."
"I use Visual Analytics for enterprise reporting."
"Initial setup of the software was complex, because of our own problems within the government."
"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."
"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."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"It is not integrated with Qlik, Tableau, and Power BI."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"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."
"The solution should improve its graphics."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The solution is a little weak at the front end."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"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 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."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
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 Oracle OBIEE.
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