We performed a comparison between IBM SPSS Statistics and SAS Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."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."
"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."
"It has the ability to easily change any variable in our research."
"The most valuable feature is its robust statistical analysis capabilities."
"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."
"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."
"in terms of the simplicity, I think the SPSS basic can handle it."
"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 technical support is okay."
"They have provided virtually everything we have needed to accomplish our task, as well as continuously improving our accuracy."
"It's very easy to use once you learn it."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"I use SAS daily to analyze data, produce reports, and other outputs."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"The team immediately resolves the issues."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"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."
"This solution is not suitable for use with Big Data."
"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."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
"Once a SAS figure is produced one would like to modify things, such as titles, legends, and incorporate risk sets as a footer on the plots."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"The installation could also be easier, and the price could be better."
"Support at universities used to be limited, but I hear this is changing."
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, Weka and Dataiku Data Science Studio, whereas SAS Analytics is most compared with KNIME, Weka, SAS Enterprise Miner and IBM SPSS Modeler.
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