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  3. IBM SPSS Modeler
Logo of IBM SPSS Modeler

IBM SPSS Modeler

byIBM
in
4.4
Market Presence: AI Platforms for Data Science and Machine Learning, Predictive Analytics Software

Overview

Product Information on IBM SPSS Modeler

Updated 13th October 2025

What is IBM SPSS Modeler?

IBM SPSS Modeler is a data mining and predictive analytics software designed to support data preparation, statistical analysis, and the development of machine learning models. The software enables users to visually build predictive models without the need for programming by providing a drag-and-drop interface. It supports a range of analytical techniques including classification, segmentation, and forecasting, and works with structured and unstructured data from multiple sources. IBM SPSS Modeler helps organizations identify patterns, trends, and relationships in data to inform decision-making, address business challenges, and enable automation of analytical processes. The software integrates with various data sources and platforms, supporting deployment of models into different business workflows.

IBM SPSS Modeler Pricing

IBM SPSS Modeler software uses a subscription based pricing model with different tiers based on features and user requirements The software offers options for monthly or annual billing with pricing varying depending on the number of authorized users and the level of functionality selected including on premise and cloud deployment choices

Overall experience with IBM SPSS Modeler

PRESALES SPECIALIST
<50M USD, IT Services
FAVORABLE

“IBM SPSS Modeler: A Tool for Better Decision Making”

5.0
Oct 22, 2024
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Director, IT Security and Risk Managemen
<50M USD, Services (non-Government)
CRITICAL

“SPSS for Data visualization and Analytics”

3.0
Jun 14, 2023
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 15th January 2024

IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.

Company Details

Updated 15th January 2024
Company type
Public
Year Founded
1911
Head office location
Armonk, New York, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.ibm.com

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Peer Discussions

IBM SPSS Modeler Reviews and Ratings

4.4

(27 Ratings)

Rating Distribution

5 Star
37%
4 Star
56%
3 Star
7%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • PRESALES SPECIALIST
    <50M USD
    IT Services
    Review Source

    IBM SPSS Modeler: A Tool for Better Decision Making

    5.0
    Oct 22, 2024
    IBM SPSS Modeler has brought in the necessary value in terms of data analysis and reasonable prediction models. Simple yet unique interface that appeals to both the beginner and the advanced data scientiosts.
  • PRESALES SPECIALIST
    <50M USD
    IT Services
    Review Source

    IBM SPSS Modeler: A Tool for Better Decision Making

    5.0
    Oct 22, 2024
    IBM SPSS Modeler has brought in the necessary value in terms of data analysis and reasonable prediction models. Simple yet unique interface that appeals to both the beginner and the advanced data scientiosts.
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Reviewer Insights for: IBM SPSS Modeler
Performance of IBM SPSS Modeler Across Market Features

IBM SPSS Modeler Likes & Dislikes

Like

User friendly: It is quite simple and requires no special training for the end users. Client machine has a broad range of algorithms: wide algorithm library for use in predictive modeling machine learning. Integration Capabilities: Various databases, cloud services and other IBM products integrate quite well with it.

Like

User friendly: It is quite simple and requires no special training for the end users. Client machine has a broad range of algorithms: wide algorithm library for use in predictive modeling machine learning. Integration Capabilities: Various databases, cloud services and other IBM products integrate quite well with it.

Like

User friendly: It is quite simple and requires no special training for the end users. Client machine has a broad range of algorithms: wide algorithm library for use in predictive modeling machine learning. Integration Capabilities: Various databases, cloud services and other IBM products integrate quite well with it.

Dislike

Poor methodology Poor GUI/UI not easy for data connection

Dislike

Poor methodology Poor GUI/UI not easy for data connection

Dislike

Poor methodology Poor GUI/UI not easy for data connection