What is better IBM Predictive Analytics or 7Learnings? Finding the ideal Predictive Analysis Software for your business is vital to increasing your company’s productivity. In our platform, it's easy to examine numerous solutions to see which one is the appropriate software for your requirements. Here you can match IBM Predictive Analytics vs. 7Learnings and check out their overall scores (9.4 vs. 8.7, respectively) and user satisfaction rating (95% vs. 95%, respectively).
You can even analyze the details of pricing, conditions, plans, functions, tools, and more, and decide which software offers more advantages for your business. In general, select the software that lets you to add/remove features and pricing to address your company growth or lack of it.
If you would like to quickly decide on the best Predictive Analysis Software according to our review team we advise you take a look at these solutions: Microsoft Azure Machine Learning Studio, Wolfram Mathematica, Sisense.
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.
7Learnings can seamlessly integrate with various third party platforms, such as:
Google Analytics
Amazon
BigQuery
Snowflake
Azure Blob Storage
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
WestWing, babymarkt, vitafy
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
7Learnings provides retailers with advanced price optimization tools. The system accurately predicts price point demand using powerful machine learning models.
Every time you select a product that you think will be an actual asset for your business you shouldn’t simply focus on what reviewers have to say about it. Quite frequently individual experience with the product may change, depending on specific goals and needs. That’s why in our reviews we also offer our User Satisfaction Rating for each software to give you an immediate impression of how real users of IBM Predictive Analytics and 7Learnings rate their contact with the software. Our algorithm is based on detailed analysis of product mentions on other sites, social networks as well as blogs, so you are going to get a comprehensive and reliable landscape of what other users think about each solution. In this case IBM Predictive Analytics got a total satisfaction rating at 95% while for 7Learnings 95% of people say they had a positive experience with it.
Page last modified
Why is FinancesOnline free?
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.
