What is better Microsoft R Open or IBM Predictive Analytics? Getting the best Predictive Analysis Software product is all about cross-checking different solutions and identifying the top application for your specific needs. Our proprietary system gives you an instant look at the general rating of Microsoft R Open and IBM Predictive Analytics. For all round quality and performance, Microsoft R Open scored 9.5, while IBM Predictive Analytics scored 9.4. On the other hand, for user satisfaction, Microsoft R Open earned 80%, while IBM Predictive Analytics earned 95%.
Below it's also possible to verify their features, terms, plans, etc. to determine what program will be more appropriate for your situation. An important feature to check is if the software allows you to enable/disable limitations on various types of users to secure any confidential corporate data.
Our team put a lot of effort to review all popular Predictive Analysis Software products offered on the market, but among all the ones we reviewed these three caught our special attention: Microsoft Azure Machine Learning Studio, Sisense, Wolfram Mathematica.
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
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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 Microsoft R Open and IBM Predictive Analytics were evaluated by a team of independent B2B experts who conducted a thorough analysis of all core aspects of each software. Their total rating was calculated with unique SmartScore algorithm that calculates a separate partial score to each element like: main functionalities, client support, mobile device support, security, client satisfaction and market presence. Here at FinancesOnline we realize useful features are not the only aspect essential to a business so we do our best to pay attention to all sides of a solution prior to coming up with its final rating.
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FinancesOnline is available for free for all business professionals interested in an efficient way to find top-notch SaaS solutions. We are able to keep our service free of charge thanks to cooperation with some of the vendors, who are willing to pay us for traffic and sales opportunities provided by our website. Please note, that FinancesOnline lists all vendors, we’re not limited only to the ones that pay us, and all software providers have an equal opportunity to get featured in our rankings and comparisons, win awards, gather user reviews, all in our effort to give you reliable advice that will enable you to make well-informed purchase decisions.
