IBM SPSS Modeler Review

A lot of jobs are tackled pretty quickly due to the automated reporting data preparation. ​Server installation was too hard and ineffective.


What is most valuable?

  • Automated data preparation
  • Some basic form of feature engineering for classification models. This really quickens the model development process.
  • Automated modelling, classification, or clustering are very useful as well.

How has it helped my organization?

Automated reporting data preparation: A lot of jobs, which were stuck in Excel due to huge numbers of rows, are now tackled pretty quickly.

What needs improvement?

  • Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach.
  • Automating procedures: Writing macros is not easy and very hard to learn.
  • Unfortunately, it’s not integrated with Qlik, Tableau, and Power Bi.
  • Expensive to deploy solutions. You need to buy an extra deployment unit.

For how long have I used the solution?

I have been a user since 2010, when it was named Clementine, and worked with versions 15, 17, and 18.

What do I think about the stability of the solution?

This tool has a lot of bugs. The canvas gets crippled when you put on a lot of icons. You have to save, close, and open the stream from scratch.

When there is a change in regional settings, menus and so on don’t pop up, probably due to software developed with Java.

What do I think about the scalability of the solution?

Server installation was too hard and ineffective. You need at least four to five concurrent users with huge data to benefit from a server, but the salespeople never tell you that and just try to oversell.

How is customer service and technical support?

Really bad local support. It took a long time for support to install a server.

**Disclosure: I am a real user, and this review is based on my own experience and opinions.
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