One of the best if not the best
April 03, 2025

One of the best if not the best

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Modules Used

  • IBM Analytical Decision Management
  • IBM SPSS Statistics
  • IBM SPSS Data Collection
  • IBM SPSS Modeler

Overall Satisfaction with IBM SPSS Statistics

We use IBM SPSS Statistics for data analysis, reporting, and predictive modeling. It helps us identify trends, improve decision-making, and solve business problems like customer behavior analysis and operational efficiency. Our use case includes market research, forecasting, and performance evaluation across different departments.

Pros

  • It helps us analyze system performance data to predict failures and optimize infrastructure efficiency.
  • It detects anomalies in network traffic and user behavior, aiding in threat detection and risk mitigation.

Cons

  • It could improve in handling large datasets more efficiently, as performance can slow down with big data
  • Additionally, the user interface feels outdated and could be more intuitive, especially for beginners who may struggle with complex workflows and scripting.
  • It has positively impacted our business by saving time through automation of data analysis, reducing manual effort, and improving decision-making with predictive insights. However, the high licensing cost and occasional performance issues with large datasets can slightly reduce the overall ROI.
IBM SPSS Statistics's most valuable capabilities include powerful predictive analytics, automated data processing, and robust statistical modeling. Its ability to handle complex data analysis with built-in machine learning tools makes it pretty useful for decision-making.
Both offer strong data analysis capabilities, but SPSS stands out for its user-friendly interface and built-in statistical tests.

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

Not sure

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

It's great for statistical analysis and predictive modeling, but the learning curve and performance with large datasets could be improved.

Comments

More Reviews of IBM SPSS Statistics