IBM SPSS Modeler a Statistical Tool for the New Researcher
September 02, 2024

IBM SPSS Modeler a Statistical Tool for the New Researcher

George DeMaagd, PharmD.,BCPS | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Software Version

Professional

Overall Satisfaction with IBM SPSS Modeler

IBM SPSS Modeler is used mainly in the world of social sciences and psychology and other research. This product is user friendly and a new user can use for statistical analyses without much practice. This tool provides a range of statistical techniques (descriptive statistics, regression and other tests) and can be used for a variety of data sets with good outcomes. You can also use with Microsoft Excel which makes it very practical. There are good support links available to assist in the use of this tool. The only negative aspects of this tool are cost, and it may not be as flexible as some programs.

Pros

  • Wide range of statistical techniques
  • Good tables and charts
  • Integrates with Excel

Cons

  • Appears slow with very large data sets
  • Lack of frequent updates
  • cost reduction
  • Good results for shared research project data with others
It is fairly user friendly, with limited practice. Similar to many statistical programs it requires a little time to get comfortable with, but once you use if for a project, the second time around is much easier.
Python requires knowledge of programming, higher learning curve vs IBM SPSS Modeler

Do you think IBM SPSS Modeler delivers good value for the price?

Not sure

Are you happy with IBM SPSS Modeler's feature set?

Yes

Did IBM SPSS Modeler live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of IBM SPSS Modeler go as expected?

I wasn't involved with the implementation phase

Would you buy IBM SPSS Modeler again?

Yes

Use of small research projects with various survey data is an excellent utility

Large data bases may result in slow performance

IBM SPSS Modeler Feature Ratings

7.0
Connect to Multiple Data Sources
7
Extend Existing Data Sources
7
Automatic Data Format Detection
Not Rated
MDM Integration
Not Rated
Not Rated
Visualization
Not Rated
Interactive Data Analysis
Not Rated
Not Rated
Interactive Data Cleaning and Enrichment
Not Rated
Data Transformations
Not Rated
Data Encryption
Not Rated
Built-in Processors
Not Rated
Not Rated
Multiple Model Development Languages and Tools
Not Rated
Automated Machine Learning
Not Rated
Single platform for multiple model development
Not Rated
Self-Service Model Delivery
Not Rated
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated

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