We performed a comparison between IBM SPSS Modeler, SAS Analytics, and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."
"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."
"We have been able to do some predictive modeling with it"
"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."
"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."
"It scales. I have not run into any challenges where it will not perform."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"It is a great product for running statistical analysis."
"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."
"The technical support is okay."
"The most valuable feature is the ability to handle large data sets."
"The team immediately resolves the issues."
"It has improved the level of efficacy and validity of our reports."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The technical support is very good."
"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."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"he solution is scalable."
"I like the way the product visually shows the data pipeline."
"Good data management and analytics."
"Customer support is hard to contact."
"Dimension reduction should be classified separately."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"The platform's cloud version needs improvements."
"The standard package (personal) is not supported for database connection."
"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"The installation could also be easier, and the price could be better."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The natural language querying and automated preparation of dashboards should be improved."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"Support at universities used to be limited, but I hear this is changing."
"This solution should be made more user-friendly."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"The initial setup is challenging if doing it for the first time."
"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 visualization of the models is not very attractive, so the graphics should be improved."
"Virtualization could be much better."
"The user interface of the solution needs improvement. It needs to be more visual."
"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."
"Technical support could be improved."
"The product must provide better integration with cloud-native technologies."
