We performed a comparison between IBM SPSS Modeler, 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."Automated modelling, classification, or clustering are very useful."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"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 a great product for running statistical analysis."
"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"
"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."
"It scales. I have not run into any challenges where it will not perform."
"We have been able to do some predictive modeling with it"
"I like the way the product visually shows the data pipeline."
"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."
"Good data management and analytics."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"he solution is scalable."
"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."
"The most valuable feature is the decision tree creation."
"The technical support is very good."
"It's relatively simple to create basic dashboards and reports."
"I use Visual Analytics for enterprise reporting."
"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's quite easy to learn and to progress with SAS from an end-user perspective."
"Simplifies report designs and quickly displays tables and graphs."
"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 speed to display charts and react to users' choices is great."
"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."
"I would like see more programming languages added, like MATLAB. That would be better."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"The forecasting could be a bit easier."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"It would be good if IBM added help resources to the interface."
"Dimension reduction should be classified separately."
"The challenge for the very technical data scientists: It is constraining for them."
"Customer support is hard to contact."
"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 product must provide better integration with cloud-native technologies."
"The solution is much more complex than other options."
"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."
"Virtualization could be much better."
"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 initial setup is challenging if doing it for the first time."
"SAS Visual Analytics could be more user-friendly."
"The licensing ends up being more expensive than other options."
"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."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The installation process can be a bit complex."
"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."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
