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IBM Watson Explorer vs Targit Decision Suite 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
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Data Mining (9th)
Targit Decision Suite
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
Reporting (35th), Embedded BI (24th)
 

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 3.4%, up 1.4% compared to last year.
Targit Decision Suite, on the other hand, focuses on Reporting, holds 1.1% mindshare, up 0.4% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer3.4%
IBM SPSS Statistics16.2%
IBM SPSS Modeler15.8%
Other64.6%
Data Mining
Reporting Mindshare Distribution
ProductMindshare (%)
Targit Decision Suite1.1%
Tableau Enterprise14.6%
Microsoft Power BI13.5%
Other70.8%
Reporting
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
Lead Engineer at a computer software company with 10,001+ employees
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…
it_user289458 - PeerSpot reviewer
Data Science Intern at a tech vendor with 5,001-10,000 employees
I can now create more meaningful charts--radar, donut, pareto, scatter, range, point, boxplot, etc., but it doesn't support Linux or commodity hardware.
* The tool is very easy to use, we got on-premise training from Panorama, within days we were proficient enough to play with the tool. * The customer service is very responsive, they answered our queries. * I saw lot of people complaining about the lack of community forum, but they do have a forum which is quite active. * The tool is extremely easy to use, with a click you can import data and create the visualizations. * The things I like most is it supports variety of charts, I was quite bored with my previous BI tool which mostly supported bar, line and pie charts. I can now create more meaningful charts radar, donut, pareto, scatter, range, point, boxplot, etc.

Quotes from Members

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

Pros

"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"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."
"The main use case is FAQ for the user; it works for almost 80% of the use case coverage."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"I really can't talk enough about the team."
"The valuable feature of Watson Explorer for us is data entities, and being able to see hidden insights from within unstructured data."
"Implementing the solution really helped with manual labor, it takes care of a lot of FT work."
"IBM has been working with Bradesco since 1968, I think, and the support is very good, with a team of 10 IBM employees working every day, 24 hours, inside the bank in Sao Paolo."
"The tool is extremely easy to use, with a click you can import data and create the visualizations."
 

Cons

"No, it's not yet stable."
"We haven't used it in production yet so I can't answer this."
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary or something of the like."
"I think we'll get it to a 10, but I think at the moment it's got to be a good eight or nine out of 10 at least."
"The solution is expensive."
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
"Sometimes the service stops."
"No support for Linux or commodity hardware. Limited support for big data analytics."
 

Pricing and Cost Advice

"The solution is expensive."
Information not available
report
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Top Industries

By visitors reading reviews
Construction Company
14%
Healthcare Company
13%
Financial Services Firm
10%
Performing Arts
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
No data available
 

Also Known As

IBM WEX
Targit BI Suite
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Platon, bubobubo, JetReports, Radley
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: July 2026.
904,748 professionals have used our research since 2012.