IBM Watson Explorer vs XLCubed comparison

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Executive Summary

We performed a comparison between IBM Watson Explorer and XLCubed 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: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
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.""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.""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."

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"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo.""Great capability, performance, flexibility, visuals, and the solution is also very cost effective."

More XLCubed Pros →

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

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"There should be a better or an easier way to establish that connection to external sources.""Would like the ability to be able to benchmark."

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Pricing and Cost Advice
  • "14,000 Pounds per year for licensing."
  • "I am still using the two-week trial, but at first sight, the price is reasonable."
  • More XLCubed Pricing and Cost Advice →

    Ranking
    8th
    out of 18 in Data Mining
    Views
    117
    Comparisons
    88
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    26th
    out of 50 in Reporting
    Views
    488
    Comparisons
    326
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Buyer's Guide
    Data Mining
    March 2024
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
    765,386 professionals have used our research since 2012.
    Comparisons
    Also Known As
    IBM WEX
    Learn More
    Fluence Technologies
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    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.

    Produce insightful, interactive reports on, company-wide metrics for any business audience. Now all in Excel.
    Pixel-perfect financial reporting with the skill sets you already have. No IT required.
    Meet XLCubed: The data-connected Excel add-in for all your reporting needs.

    Sample Customers
    RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
    Marshalls Ltd, BP Exploration and Production, Thorntons, Ted Baker, Bristol-Myers, Rank Group, ING Bank Genve, Cargill Value Investment, Chloride Power, Auchan, Erste, UEFA, Novartis, Porsche Informatik, Raiffeisen Bank International
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm10%
    Educational Organization9%
    Government9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company14%
    Comms Service Provider6%
    Energy/Utilities Company5%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise11%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    Data Mining
    March 2024
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    IBM Watson Explorer is ranked 8th in Data Mining while XLCubed is ranked 26th in Reporting. IBM Watson Explorer is rated 8.4, while XLCubed is rated 7.6. The top reviewer of IBM Watson Explorer writes "Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them". On the other hand, the top reviewer of XLCubed writes "Cost effective with great capability, performance, flexibility and visuals". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI, Tableau and KNIME, whereas XLCubed is most compared with Microsoft Power BI and Tableau.

    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.