What is better Graphite Note or IBM Predictive Analytics? Getting the proper Predictive Analysis Software product is as straightforward as comparing the solid and weak features and terms offered by Graphite Note and IBM Predictive Analytics. Here you can also match their all round scores: 8.0 for Graphite Note vs. 9.4 for IBM Predictive Analytics. Or you can check their general user satisfaction rating, 96% for Graphite Note vs. 95% for IBM Predictive Analytics.
We suggest that you spend some time to examine their unique features and determine which one is the better alternative for your business. Likewise, remember to take into account your company’s or industry’s special circumstances, for instance, a multilingual software for a global company or a mobile platform to help you work on the go.
As of now, the top solutions in our Predictive Analysis Software category are: Wolfram Mathematica, Sisense, Microsoft Azure Machine Learning Studio.
Graphite Note runs a predictive analytics solution that combines visuals with narrative to create shareable insights that are easy for your teams to understand.
Company Email
hello@graphite-note.com
Contact No.
Company's Address
Graphite Note ltd.
Muckross Road, Killarney, County Kerry V93,
Ireland
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.
All the data, details and statistics that we offered in this table were collected from official company sites, promotional resources available online, real-life experience from real clients as well as our own hands-on use of each service by a professional reviewer. We do our best to extensively study every product, therefore we not only analyze it ourselves, but we also match our results with experiences of other users from the SaaS community.
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