IBM Watson Explorer vs Tungsten Insight comparison

The compared IBM and Tungsten Automation solutions aren't in the same category. IBM is ranked #11 in DM , and holds a 1.0% mindshare in the category. Tungsten Automation is ranked #48 in BIT , and holds a 0.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 75% of Tungsten Automation users who would recommend it.

IBM Watson Explorer

Read 10 IBM Watson Explorer reviews

63 Views
47 Comparison Views

100% willing to recommend

Tungsten Insight

Read 3 Tungsten Insight reviews

139 Views
79 Comparison Views

75% willing to recommend

IBM Watson Explorer

Tungsten Insight

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Watson Explorer and Tungsten Insight based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.

To learn more, read our detailed Data Mining Report (Updated: April 2025).

Buyer's Guide

Data Mining

April 2025

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Helped 850,671 peers since 2012

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

Ranking in other categories

Data Mining (11th)

Tungsten Insight

Average Rating

7.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (48th), Process Mining (17th)

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.
Tungsten Insight, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.1% mindshare, up 0.1% since last year.

Data Mining

BI (Business Intelligence) Tools

Featured Reviews

it_user840897

Head of Commercialization at Woodside Energy

Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them

WEX is more a platform, I believe, than it is the application. I could talk about what I'm looking for in the application. We've done visualizations and we can do basic analysis with the system as it stands. Where we're looking to take it is implementing it into workflows, so the workers on the line can actually understand the risks that they're exposing themselves to and then address them on the fly. So that's fantastic. And then the final one is, it's not prediction, but maybe anticipation. So when people are put at risk, we'll be implementing solutions shortly that will help people anticipate the risks and the dangers they're exposing themselves to so they can control them.

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reviewer2005506

Major Account Manager at a computer software company with 51-200 employees

Great reporting and customizations with good reliability

A lot of the improvement is not so much the product as it is how it's deployed; it's about mapping against what you need to improve your processes, whether it's the Kofax kind of shows in the IDP. You've got process orchestration, extraction and robotic process automation, process orchestration, and then mobile. Tracking what you need out of those, either all five together or one of those separated out, is usually what's more critical. They do add capabilities to the tool. However, from our perspective as a consulting organization, the real key is whether you are getting the data you need to improve your process or if your reporting is not providing you with the desired information you need to improve your processes. If there's any negative, it's just the different names, the branding names that the product's gone through. It's confusing.

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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."

"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."

"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."

"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."

"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."

"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."

"It provides the ability to design applications directly."

"The initial setup is straightforward."

"You can easily customize reporting to pull the fields that interest you."

Cons

"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."

"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."

"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"

"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."

"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"

"It needs better language support, to include some other languages. Also, they should improve the user interface."

"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."

"If there's any negative, it's just the different names, the branding names that the product's gone through. It's confusing."

"It would be ideal if there were some standard forms that could be customized."

"The initial setup is complex and would be difficult to carry out without any training."

Pricing and Cost Advice

"The solution is expensive."

Information not available

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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

Comparisons

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Compared 35% of the time

Tableau vs IBM Watson Explorer

Compared 30% of the time

Salesforce Einstein Analytics vs IBM Watson Explorer

Compared 25% of the time

Izenda vs IBM Watson Explorer

Compared 10% of the time

More IBM Watson Explorer Competitors

No data available

Product Reports

Buyer's Guide

IBM Watson Explorer

April 2025

Download IBM Watson Explorer product report

Buyer's Guide

BI (Business Intelligence) Tools

May 2025

Download Tungsten Insight product report

Also Known As

IBM WEX

Kofax Insight

Overview

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

IBM

Unlock the full potential of your data with Tungsten Insight, a comprehensive solution that combines process monitoring, analysis, and rich visualizations for end-to-end visibility of operational performance and compliance. With unmatched business process awareness, anyone in your organization can analyze and optimize business operations, eliminating the need for IT intervention. Unique visibility enables fast, fact-based decisions before process issues affect customers, while benefits like anytime access to information, limitless scalability, quick implementation, actionable analytics, and optimized data discovery ensure efficient and effective decision-making processes. Tungsten Insight stands as the ultimate choice for organizations seeking to harness the power of their data for improved business outcomes.

Tungsten Automation

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda

Infosys,HMI, krungsri, Cegeka

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We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.