We performed a comparison between IBM SPSS Statistics and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable features are the small learning curve and its ability to hold a lot of data."
"The most valuable feature is the user interface because you don't need to write code."
"Most of the product features are good but I particularly like the linear regression analysis."
"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."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"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."
"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 features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The most valuable features are the analytics and reporting."
"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."
"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."
"Better documentation on how to use macros."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"The design of the experience can be improved."
"It could allow adding color to data models to make them easier to interpret."
"I think the visualization and charting should be changed and made easier and more effective."
"This solution works for acquired data but not live, real-time data."
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IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews while SAP Predictive Analytics is ranked 24th in Data Science Platforms. IBM SPSS Statistics is rated 8.0, while SAP Predictive Analytics is rated 8.6. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of SAP Predictive Analytics writes "Easy to implement, good data forecasting and reporting". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and IBM SPSS Modeler, whereas SAP Predictive Analytics is most compared with IBM Watson Studio, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Domino Data Science Platform and Alteryx. See our IBM SPSS Statistics vs. SAP Predictive Analytics report.
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