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IBM Watson Explorer vs Izenda comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM Watson Explorer
Average Rating
8.4
Number of Reviews
10
Ranking in other categories
Data Mining (11th)
Izenda
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Embedded BI (29th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Watson Explorer is designed for Data Mining and holds a mindshare of 1.0%, up 0.9% compared to last year.
Izenda, on the other hand, focuses on Embedded BI, holds 0.2% mindshare, up 0.0% since last year.
Data Mining
Embedded BI
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
A data analysis tool that is scalable and includes keyword search functionality
The solution is used for a government company for data collection and analysis I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer. I have been using the solution for five…
report
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851,604 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
15%
Educational Organization
15%
University
11%
Financial Services Firm
11%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Also Known As

IBM WEX
No data available
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Department of of Natural Resources, Essette, Intersect Healthcare, Towers Watson, Starfleet Research, Jenzabar, Fiserv, PWC, Assetworks, Thomson Reuters, Hiperos
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: May 2025.
851,604 professionals have used our research since 2012.