IBM SPSS Statistics Valuable Features

Founder at pt. sma
I like that the solution provides many built-in options for us. They have many existing algorithms that we can use. Using them effectively depends on us because we have to understand how to utilize any particular solution. But actually, the product is at a good level when it comes to ease-of-use. You have to have the data first to work with. You retrieve data you want to use from the database and you format the data and put it to the SPSS. Then you do analysis and from that, you can take better steps towards a business solution based on the results the analysis returns. View full review »
Associate Professor of Statistics at KAU
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. I'm using most of the content of SPSS. View full review »
Founding Partner at Altdata Analytics
The features that I find to be the most valuable are the anomaly detection and its statistics. The clustering statistics are important as well as the usual old-school statistical analysis called ANOVA and ANCOVA. They are critical. There were some new approaches that I hadn't used before. 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. Many people don't read these types of handbooks, but they should because it was very useful and I use it a lot. View full review »
Find out what your peers are saying about IBM, Weka, Knime and others in Data Mining. Updated: March 2020.
407,845 professionals have used our research since 2012.
Senior Statistical Consultant at a financial services firm with 501-1,000 employees
Most of the product features are good but I particularly like the linear regression analysis. I also benefit from the import and export of data abilities. View full review »
CEO at Avina
I think that it's easy to use because of its variable inference. It has two variable ports and the variable experience is very nice because every variable has its own purpose. It has the ability to easily change any variable in our research. View full review »
Assistant Director-Data Analytics at a financial services firm with 10,001+ employees
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. All of the clustering for multi-related techniques including clustering, factoring, etc. is quite useful. The cost integration features are very good. View full review »
Business Process Improvement at Godfrey Phillips India Ltd
The tests, videos, and tools that are the most useful depend on what objective the company has, but all of the features are quite good. 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. View full review »
CEO & Owner at a tech services company
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. View full review »
Volkan ÇAma?
Principal Consultant at Caligo
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. The current features meet with the needs of our company. Our needs are not complex for the features offered. View full review »
Policy Analyst at a government with 10,001+ employees
The most valuable feature is the user interface because you don't need to write code. You can drag and drop selections and the menu is very helpful. You can adjust your parameters and other things, all through the interface. View full review »
Find out what your peers are saying about IBM, Weka, Knime and others in Data Mining. Updated: March 2020.
407,845 professionals have used our research since 2012.