What is better SAS Advanced Analytics or IBM Predictive Analytics? Today’s firms look for the best Predictive Analysis Software product to stay competitive. On this page we help you with buying the right service, by allowing you to evaluate SAS Advanced Analytics and IBM Predictive Analytics down to the very details of their individual modules.
You can also examine our general scoring values, which rate the software overall quality and performance. SAS Advanced Analytics got a 9.4 score, while IBM Predictive Analytics has a score of 9.4. Likewise, you may compare their general user satisfaction rating: N/A% (SAS Advanced Analytics) against 95% (IBM Predictive Analytics). Remember to select the software that best addresses your most crucial priorities, not the solution with a lot of features.
In the event you would like to quickly identify the more reliable Predictive Analysis Software according to our review team we recommend you examine these products: Sisense, Microsoft Azure Machine Learning Studio, Wolfram Mathematica.
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
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
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.
In case you continue having doubts about which service will perform best for your business it may be a sensible idea to examine each service’s social metrics. These metrics are quite often a sign of how popular a given app is and how large is its online presence.For instance, if you check SAS Advanced Analytics LinkedIn page you’ll find out that they are followed by 447948 people. In case of IBM Predictive Analytics the number of followers on their LinkedIn page is 43677.
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