We performed a comparison between IBM SPSS Statistics and SAS Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is its robust statistical analysis capabilities."
"It has the ability to easily change any variable in our research."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"It is a modeling tool with helpful automation."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"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 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."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"I use SAS daily to analyze data, produce reports, and other outputs."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The team immediately resolves the issues."
"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."
"It's very easy to use once you learn it."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"I think the visualization and charting should be changed and made easier and more effective."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"The solution needs to improve forecasting using time series analysis."
"It could allow adding color to data models to make them easier to interpret."
"It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that."
"This solution should be made more user-friendly."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The installation could also be easier, and the price could be better."
"The natural language querying and automated preparation of dashboards should be improved."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while SAS Analytics is ranked 5th in Data Mining with 11 reviews. IBM SPSS Statistics is rated 8.0, while SAS Analytics is rated 9.0. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of SAS Analytics writes "Provides comprehensive data analysis tools and functionalities, but its higher pricing and potential stability issues may present drawbacks". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Dataiku, whereas SAS Analytics is most compared with KNIME, Weka, SAS Enterprise Miner and IBM SPSS Modeler. See our IBM SPSS Statistics vs. SAS Analytics report.
See our list of best Data Mining vendors.
We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.