IBM SPSS Modeler Valuable Features
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.
Overall the solution is very powerful.
View full review »It is very organized and easy to use. It's very clear in IBM, and this makes it easy to build your projects. It's not complicated at all.
If you have no experience at all, it still remains very simple.
The quality is very good.
The intelligence is superior to open-source options.
It is very powerful.
The solution is not complex to set up.
View full review »We have full control of the data handling process. We can change or add steps to the process.
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Data Mining
February 2024
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: February 2024.
763,955 professionals have used our research since 2012.
In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool.
View full review »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.
View full review »Compared to other tools, the product works much easier to analyze data without coding.
View full review »Buyer's Guide
Data Mining
February 2024
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining. Updated: February 2024.
763,955 professionals have used our research since 2012.