IBM SPSS Modeler Pros and Cons

IBM SPSS Modeler Pros

AltanAtabarut
Founding Partner at Altdata Analytics
Automated modelling, classification, or clustering are very useful.
A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly.
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Miguel Villalobos
Director - Institute of Advanced Analytics at a university with 1,001-5,000 employees
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 makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler.
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IBM SPSS Modeler Cons

AltanAtabarut
Founding Partner at Altdata Analytics
Customer support is hard to contact.
It is not integrated with Qlik, Tableau, and Power BI.
Expensive to deploy solutions. You need to buy an extra deployment unit.
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Miguel Villalobos
Director - Institute of Advanced Analytics at a university with 1,001-5,000 employees
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.
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