We performed a comparison between IBM SPSS Statistics and SAP Predictive Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"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."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"It offers very good visualization."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"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 most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"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."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"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."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"Needs more statistical modelling functions."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"The design of the experience can be improved."
"The statistics should be more self-explanatory with detailed automated reports."
"This solution works for acquired data but not live, real-time data."
Earn 20 points
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, Domino Data Science Platform, IBM SPSS Modeler and Alteryx.
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