Advanced visualization Tools - IBM SPSS Statistics.
Updated May 23, 2025

Advanced visualization Tools - IBM SPSS Statistics.

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

Modules Used

  • IBM SPSS Statistics
  • IBM SPSS Data Collection

Overall Satisfaction with IBM SPSS Statistics

IBM SPSS statistics is an essential tool for sophisticated statistical analysis and data driven decision- making across a variety of corporate functions.
Examine clinical research results regarding herbal supplement efficacy and safety.
conduct multivariate statistical analysis of botanical extract compositions.
Validate research ideas using complicated statistical models.
Statistical process control ensures contant product quality.
variance analysis of raw material properties.







































Pros

  • Multivariate analysis
  • Predictive analytics
  • Users can do sophisticated statistical analysis with minimal programming skills.

Cons

  • The UI appears old and lacks the current inmtuitive design of newer statistical software tools
  • The customization possibilities for graphs are restricted.
  • Automated statistical processes can reduce analysis time by 50 %- 70% compared to manual calculations
  • Produces reliable and verifiable analytical results.
It helps firms comply with regulatory reporting standards.
Supports complicated multivariate analytics.
Develop predictive models more easily

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

Yes

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

Yes

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

Yes

Did implementation of IBM SPSS Statistics go as expected?

Yes

Would you buy IBM SPSS Statistics again?

Yes

Industry standard statistics software having a lengthy history of use.
in comparison to more difficult statistical programming languages this interface is more user- friendly.
comprehensive collection of statistical analysis tools ideal for researchers and professionals who want point and click statistical analysis.
strong in fields including survey analysis regression and predictive modeling.

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