IBM Predictive Analytics Overview

What is IBM Predictive Analytics?
IBM Predictive Analytics Buyer's Guide

Download the IBM Predictive Analytics Buyer's Guide including reviews and more. Updated: February 2021

IBM Predictive Analytics Customers
Getin Noble Bank S.A., North Pacific Bank Ltd., RightShip, California Franchise Tax Board, Consolidated Communications, Coherent Path Inc., Rossmann Supermarkety Drogeryjne Polska Sp. z o.o., Tennessee Highway Patrol, Banco de Prevision Social, Comptel Corp.
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IBM Predictive Analytics Reviews

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Head of Digital Consulting at a tech services company with 10,001+ employees
Real User
Top 20
Jan 15, 2020
Good prediction capability for marketing purposes, although it needs to be more flexible

What is our primary use case?

I usually deal with marketing and I use IBM Predictive Analytics for data mining. At this time, we are not using it because we are working with another company in a niche area with a specialized algorithm in artificial intelligence. Our most recent use case was related to the proposition of promotions for clients. Based on the contact history and other information, we would predict the next best offer for that client. We had another one that was related to real-time marketing based on a person's past behavior on a website. A third was in a contact center and it was used to anticipate certain… more »

Pros and Cons

  • "The most valuable feature is the predictive capability in marketing use cases."
  • "Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."

What other advice do I have?

My advice for anybody who is considering this solution is to start with a PoC to train the people, and to make sure that professional services are available during the implementation. Essentially, do the PoC with the assistance of professional services. Overall, this is a good product, but there are some features that need to be improved and it should be more flexible to use. I would rate this solution a seven out of ten.
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