IBM SPSS a perfect tool for the beginner in data analytics
February 29, 2020
IBM SPSS a perfect tool for the beginner in data analytics
Score 7 out of 10
Vetted Review
Verified User
Modules Used
- IBM SPSS Statistics
- IBM SPSS Data Collection
- IBM SPSS Modeler
- IBM Analytical Decision Management
Overall Satisfaction with IBM SPSS
We use IBM SPSS for data visualization and analysis. It is a good tool for analysis of things like regression, both linear and logistics. What sets it apart for our organization is the use we have for it creates multiple tables with varied parameters and features. It does all the required functions for data analysis, especially for our survey processes that we provide to the client; it lacks the data collection module, though.
Pros
- Data visualization
- Data Analysis
- Data modeling
- Tabular creation & modification
- User-friendly UI
- Compatibility with several other software and the ability to save files in a multitude of extensions
Cons
- Random forest function is still missing
- It needs better tools for data collection, becomes tedious with an extensive dataset collection.
- UI could use some tweaks
- Should derive from R, Numpy and pandas for various functions that are coming out as the new data analysis packages
- Needs more flexibility in including new features
Stacks up pretty well, as this is the best geospatial analysis tool next only to ArcGIS, but does almost everything that other packages do almost as well. However, there is a considerable need to improve and include new techniques like the random forest, etc. which IBM SPSS lacks as compared to several of this alternative software.
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