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IBM SPSS Modeler - Predictive Analytics Software

IBM SPSS Modeler Reviews in July 2026: User Ratings, Pros & Cons

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4.2

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IBM SPSS Modeler Reviews & Ratings

4.2

Very Good

Based on 300 ratings & 143 reviews

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Rating Distribution

Excellent

(74)

Very Good

(47)

Good

(12)

Poor

(4)

Terrible

(6)

Spotsaas Editor’s POV

IBM SPSS Modeler consistently delivers for teams needing comprehensive, visual-driven predictive analytics. I appreciate how quickly I can build data preparation and modeling pipelines through its intuitive drag-and-drop interface, even without writing code. The broad algorithm support—from regression to text mining—is robust and well-suited for business and ...Read more

IBM SPSS Modeler pros and cons

  • Offers extensive analytics, clustering, and predictive modeling tools.

  • The drag-and-drop UI simplifies data preparation and model building.

  • IBM provides extensive documentation, training, and community support

  • Includes regression, decision trees, neural nets, time-series, and text analytics

  • High cost may not be justified for small organizations or occasional users

  • Graphs and charting tools are seen as old-fashioned and hard to customize

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Showing 21-30 out of 143

FB

Francis B

12/22/20

5 out of 5

"Best Structured Equation Model App"

What do you like best about IBM SPSS Modeler? It's produces very good visualizations of statistic results. What do you dislike about IBM SPSS Modeler?

AU

Anonymous User

08/26/20

4 out of 5

"ANN models"

What do you like best about IBM SPSS Modeler? I used IBM SPSS Modeler when I was writing my final thesis in college. It helped me a lot while creating ANN models. I used it to decide which of the IT projects is suitable to be in the project portfolio.

RT

Riddima T

08/16/20

5 out of 5

"I worked with IBM SPSS Modeler for my Master Project and it completion. Easy to work."

What do you like best about IBM SPSS Modeler? I thoroughly enjoyed working with IBM SPSS. It was one of the tool I selected to work on for my Master Project. It's so easy to understand and work with as Data Analytics. It gives a nice visual dashboard and also helps in prediction with easy drag and drop tool. completely enjoyed working with!

LC

Leonardo C

08/16/20

4.5 out of 5

"Valuable and practical tool, very recommended"

What do you like best about IBM SPSS Modeler? It makes your life easier. Very intuitive and it suits different tasks at the same time. Everything you need to analyze/handle huge amount of data in one single tool

MB

Mrudula B

08/04/20

4.5 out of 5

"Its amazing"

What do you like best about IBM SPSS Modeler? Statistics is very simple to calculate by using this What do you dislike about IBM SPSS Modeler?

AU

Anonymous User

08/04/20

5 out of 5

"Data Scientist, always ready to learn new things."

What do you like best about IBM SPSS Modeler? Can get the useful insights and predictions in very less period of time.Drag and Drop options allow us to implement models faster and to evaluate models performance and model fitting in very less period of time.

AU

Anonymous User

08/03/20

4.5 out of 5

"I have used IBM SPSS for 3 years for creating prepensity models."

What do you like best about IBM SPSS Modeler? Easy to use and availability of abundance of algorithms What do you dislike about IBM SPSS Modeler?

LU

Luis U

08/02/20

4.5 out of 5

"Very good and intuitive product"

What do you like best about IBM SPSS Modeler? Very easy & intuitive interface. Easy to understand for novice users. Interaction is easy, drag, and drop works pretty well.

AV

Anish V

08/02/20

4.5 out of 5

"Best product for ML/DL modelling"

What do you like best about IBM SPSS Modeler? Use of use Easy to deploy models

AU

Anonymous User

08/01/20

2.5 out of 5

"Clients are migrating from SPSS"

What do you like best about IBM SPSS Modeler? Drag and drop nodes to create work flow with streams. What do you dislike about IBM SPSS Modeler?

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].