What is better SAS Advanced Analytics or IBM Predictive Analytics? Various companies require different types of Predictive Analysis Software. To find out which solution fits your needs, think of assessing various solutions feature by feature including their conditions and costs. Furthermore, you will get a quick idea of their overall efficiency and customer feedback by having a look at our smart scoring system.
The results are: SAS Advanced Analytics (9.4) vs. IBM Predictive Analytics (9.4) for overall quality and functionality; SAS Advanced Analytics (N/A%) vs. IBM Predictive Analytics (95%) for user satisfaction rating. Examine their strong and low points and decide which software is a better option for your company. A simple, practical tactic is to list the pros and cons of both solutions side by side and check which solution has more benefits.
In the event you would like to quickly decide on the top Predictive Analysis Software according to our experts we advise you try out the following services: Wolfram Mathematica, Microsoft Azure Machine Learning Studio, Sisense.
Details on SMB and enterprise pricing for SAS Advanced Analytics are not publicly available. Interested buyers may contact a sales representative to request for a customized quotation.
IBM Predictive Analytics offers a detailed enterprise pricing structure that features both quote based and subscription-based pricing. Apart from the IBM SPSS Statistics, all the other products in the suite offer subscription-based pricing.
IBM SPSS Statistics @ $99/month
IBM SPSS Modeler @ quote based
IBM SPSS Analytic Server @ quote based
IBM SPSS Predictive Analytics Enterprise @ quote based
US Open, California Franchise Tax Board, First Tennessee Bank
Available Devices
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Company Size
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Medium Business
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Available Support
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General Info
A flexible and scalable predictive analytics suite designed to address all aspects of the entire analytical process; data collection, planning, deployment, analysis, and reporting.
Both SAS Advanced Analytics and IBM Predictive Analytics were evaluated by a team of independent SaaS experts who prepared a detailed analysis of all key elements of each software. Their ultimate rating was prepared using our unique SmartScore model which provides an individual partial score to each element like: main features, client support, mobile device support, security, client satisfaction as well as media presence. We are aware that useful features are not the only aspect important to a company so we make an effort to pay attention to all sides of a app prior to giving it a final score.
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