EzzAbdelfattahAssociate Professor of Statistics at KAU
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"We think that IBM SPSS is expensive for this function."
"The price of this solution is a little bit high, which was a problem for my company."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
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SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.
IBM SPSS Statistics is ranked 5th in Data Science Platforms with 15 reviews while SAS Visual Data Mining and Machine Learning is ranked 25th in Data Science Platforms. IBM SPSS Statistics is rated 8.0, while SAS Visual Data Mining and Machine Learning is rated 0.0. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, TIBCO Statistica, Weka, MathWorks Matlab and Alteryx, whereas SAS Visual Data Mining and Machine Learning is most compared with SAS Enterprise Miner, SAS Visual Analytics, Microsoft Azure Machine Learning Studio, WPS Analytics and Alteryx.
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