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."I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"SPSS is quite robust and quicker in terms of providing you the output."
"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."
"It is a modeling tool with helpful automation."
"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."
"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 most valuable feature is the ability to handle large data sets."
"It's very easy to use once you learn it."
"It has also been around for an extremely long time, has a strong history, and good market penetration."
"The technical support is okay."
"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."
"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."
"It is able to connect to all major platforms, and all the smaller platforms that I have come across."
"The technical support should be improved."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"I think the visualization and charting should be changed and made easier and more effective."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"The statistics should be more self-explanatory with detailed automated reports."
"Better documentation on how to use macros."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"Support at universities used to be limited, but I hear this is changing."
"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."
"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."
"This solution should be made more user-friendly."
"The natural language querying and automated preparation of dashboards should be improved."
"They could enhance the AI capabilities of the product."
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."
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.
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