What is better IBM Predictive Analytics or Pecan? If you wish to have a easy way to learn which Predictive Analysis Software product is better, our proprietary algorythm gives IBM Predictive Analytics a score of 9.4 and Pecan a score of 8.5 for all round quality and performance. In addition, IBM Predictive Analytics is rated at 95%, while Pecan is rated 97% for their user satisfaction level.
You can also evaluate their product details, including functions, tools, options, plans, pricing, and more. Find out whether the solution lets you to customize a few of its processes to guarantee it fits your own business workflows.
Those of you who are pressed for time or could use a Predictive Analysis Software suggestion from our team may want to take a look at these top choices for this year: Sisense, Wolfram Mathematica, Microsoft Azure Machine Learning Studio.
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.
You should pay attention to the fact that even though both IBM Predictive Analytics and Pecan may have an outstanding set of features each software might be created for a different company size. If you are analyzing various solutions you should give some attention to a company size they are meant for. Some features may scale up efficiently for huge enterprises but if you own a small or mid-sized company it’s often more sensible to avoid paying for complex functionalities that you may never have a chance to use.
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