1. Home
  2. Predictive Analytics Software
  3. IBM SPSS Statistics Reviews
  4. User Review of IBM SPSS Statistics
I like working on IBM SPSS Modeler
November 04, 2016

I like working on IBM SPSS Modeler

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Modules Used

  • IBM SPSS Modeler

Overall Satisfaction with IBM SPSS

I have used IBM SPSS Modeler to build models in my department of customer analytics. This has helped my organization to come up with predictive models for different projects. For instance, I built a decision tree to categorize different customers and their behaviors which have proven results. Also, I have done descriptive analysis, data filtering, data cleaning, data merge and built many more models like regression, logistic regression, auto neural networks and much more.
  • Very easy to use and build models.
  • Faster executions.
  • Cheaper compared to other modelling tools.
  • Reliable results.
  • Though it is easy to use, some of the user interfaces are not really fun.
  • Hard time executing multiple models together.
  • SAS has more nodes for models.
  • Results of projects run on IBM SPSS Modeler have saved big investment in customer support department.
  • Saved working hours by allowing point and click analysis.
  • Positive outlook of management when the results obtained by IBM SPSS Modeler are explained to them since this tool is comparatively easy to understand.
I have used SAS and R for data modeling. As compared to R, definitely IBM SPSS Modeler is easy to use but not as efficient as SAS.
IBM SPSS Modeler is well suited when you have to build models quicker and efficiently. It doesn't take long to grasp IBM SPSS Modeler skills. There aren't as many features as other modeling tools have. When you have to do in-depth data cleaning, learn descriptive statistics and build some models like rule induction. IBM SPSS Modeler fails somewhere.