What do you like most about IBM SPSS Statistics?
Thanks for sharing your thoughts with the community!
SPSS is quite robust and quicker in terms of providing you the output.
The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it.
The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial.
You can quickly build models because it does the work for you.
Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful.
It is a modeling tool with helpful automation.
The features that I have found most valuable are the Bayesian statistics and descriptive statistics.
Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things.
The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.
In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions.
The most valuable feature is the user interface because you don't need to write code.
It has the ability to easily change any variable in our research.
They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.
The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.
You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.
The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important.
Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files.
Most of the product features are good but I particularly like the linear regression analysis.
We all know it's really hard to get good pricing and cost information.
Please share what you can so you can help your peers.