We performed a comparison between IBM Predictive Analytics and SAS Predictive Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics."The most valuable feature is the predictive capability in marketing use cases."
"The most valuable feature is its flexibility and the ability to integrate with SAS."
"The most valuable features are forecasting and reporting."
"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."
"Technical support could be improved because they take too long to answer our queries."
"I think that this solution should be more compatible with other software, including open-source solutions."
IBM Predictive Analytics is ranked 22nd in Predictive Analytics while SAS Predictive Analytics is ranked 9th in Predictive Analytics. IBM Predictive Analytics is rated 7.0, while SAS Predictive Analytics is rated 7.0. The top reviewer of IBM Predictive Analytics writes "Good prediction capability for marketing purposes, although it needs to be more flexible". On the other hand, the top reviewer of SAS Predictive Analytics writes "Good forecasting, reporting, and data integrity, but it needs to be more user-friendly". IBM Predictive Analytics is most compared with , whereas SAS Predictive Analytics is most compared with DataRobot and TIBCO Statistica.
See our list of best Predictive Analytics vendors.
We monitor all Predictive Analytics 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.
