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."We have a local representative who specializes in SPSS. He will help us do the PoC."
"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 it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"
"Automated modelling, classification, or clustering are very useful."
"Compared to other tools, the product works much easier to analyze data without coding."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."
"Data handling is one of the best features of SAS Visual Analytics."
"Great for handling complex data models."
"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."
"The product is stable, reliable, and scalable."
"I use Visual Analytics for enterprise reporting."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"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."
"It is not integrated with Qlik, Tableau, and Power BI."
"The time series should be improved."
"Dimension reduction should be classified separately."
"I think mapping for geographic data would also be a really great thing to be able to use."
"The challenge for the very technical data scientists: It is constraining for them."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"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 is a little weak at the front end."
"The solution should improve its graphics."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"A bit more flexibility in the temperatization will be helpful."
"I haven't come across any missing features."
"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 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."
"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."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews. IBM SPSS Modeler is rated 8.0, while SAS Visual Analytics is rated 8.0. 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 KNIME, Microsoft Power BI, 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.
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.
