IBM SPSS Statistics Valuable Features

Rifan Kurnia
Modeling Analyst, Advanced Analytics - Decision Management at a consultancy with 10,001+ employees
Well, actually, in terms of the technique that we use, and also the implementation, I prefer to use SPSS Clementine right now. It can cover a big amount of data, instead of just basic SPSS where you have limitations, how many observations you can analyze. In terms of the features, I think that the modelling section in IBM SPSS Clementine is very good. it has a lot of modeling techniques compared to other tools. View full review »
Hui Xiang Chua
Manager of Data Analytics
* Merge, Aggregation, and Crosstabs functions are most valuable when I'm performing data preparation. * Statistical modelling functions within this product, such as Regression and PCA function, are also useful. * The point-and-click interface is user-friendly. View full review »
Senior Research Analyst at a university
Custom tables and macros: They allow us to create useful reports quickly for a broad audience. View full review »
Statistical Consultant at a consultancy with 10,001+ employees
None are particularly valuable to me, because all its features are available in better condition elsewhere. View full review »

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