SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.
The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.
Director, Systems Management & MIS Operations at a university with 201-500 employees
Real User
2021-10-19T19:31:25Z
Oct 19, 2021
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.
Founder and General Manager at a tech services company with 1-10 employees
Real User
2021-07-08T09:36:00Z
Jul 8, 2021
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.
Consultant, Intelligent Process Automation at a financial services firm with 10,001+ employees
Real User
2020-12-21T18:29:11Z
Dec 21, 2020
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.
Business Owner at a analyst firm with 1-10 employees
Real User
2020-07-09T06:27:02Z
Jul 9, 2020
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.
Assistant Director-Data Analytics at Ernst & Young
Real User
2020-02-02T10:42:05Z
Feb 2, 2020
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.
Business Process Improvement at Modi Enterprises Private Limited
Real User
2019-12-15T05:59:00Z
Dec 15, 2019
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.
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.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS...
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis.
The most valuable feature is its robust statistical analysis capabilities.
IBM SPSS Statistics depends on AI.
One feature I found very valuable was the analysis of variance (ANOVA).
It offers very good visualization.
SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.
The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful.
I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well.
The most valuable features are the small learning curve and its ability to hold a lot of data.
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.