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."It offers very good visualization."
"IBM SPSS Statistics depends on AI."
"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."
"in terms of the simplicity, I think the SPSS basic can handle it."
"You can quickly build models because it does the work for you."
"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."
"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."
"I use it to replicate our entire financial system to verify/duplicate calculations."
"It has improved the level of efficacy and validity of our reports."
"I use SAS daily to analyze data, produce reports, and other outputs."
"I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
"The most valuable feature is the ability to handle large data sets."
"It has facilitated timely analysis results with quality work and meaningful output."
"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."
"SAS Analytics plays a vital role in enhancing our decision-making processes, particularly in areas such as customer segmentation and operational efficiency."
"Needs more statistical modelling functions."
"The solution needs more planning tools and capabilities."
"There is a learning curve; it's not very steep, but there is one."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"The solution needs to improve forecasting using time series analysis."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"They could enhance the AI capabilities of the product."
"I would like to see their interface to R added to either Base SAS or SAS Analytics."
"Support at universities used to be limited, but I hear this is changing."
"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."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
"The natural language querying and automated preparation of dashboards should be improved."
"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."
"There is potential for enhancement, particularly in the virtualized dashboard's capability to generate reports."
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 Anaconda, whereas SAS Analytics is most compared with KNIME, Weka, SAS Enterprise Miner and IBM SPSS Modeler.
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.