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IBM Watson Explorer vs Wizdee [EOL] comparison

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IBM Watson Explorer

Read 10 IBM Watson Explorer reviews
103 views|79 comparisons
100% willing to recommend
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Wizdee [EOL]

views| comparisons
Buyer's Guide
Data Mining
March 2024
Executive Summary

We performed a comparison between IBM Watson Explorer and Wizdee [EOL] 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).
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Featured Review
Anonymous User
Ingests, retrieves information from a range of sources; enables dissecting questions in context and answering them
Previously we'd have a set of health and safety analysts who would be the key focal points for doing work to understand health and safety risks; so... Read more →
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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:
Pricing and Cost Advice
  • "The solution is expensive."

    • More IBM Watson Explorer Pricing and Cost Advice →

    Information Not Available
    Ranking
    9th
    out of 18 in Data Mining
    Views
    103
    Comparisons
    79
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Unranked
    In Data Mining
    Buyer's Guide
    Data Mining
    March 2024
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    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
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    768,578 professionals have used our research since 2012.
    Comparisons
    Also Known As
    IBM WEX
    Learn More
    IBM
    Wizdee
    Video Not Available
    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.

    Wizdee is a fundamentally different approach to Business Intelligence. With Wizdee you explore data from multiple sources using everyday language. Just enter your queries in a search box to analyze your business data and get instant visual answers.

    Sample Customers
    RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Educational Organization9%
    Financial Services Firm9%
    Government9%
    No Data Available
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise11%
    Large Enterprise64%
    No Data Available
    Buyer's Guide
    Data Mining
    March 2024
    Download Free Report
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
    DOWNLOAD NOW
    768,578 professionals have used our research since 2012.

    IBM Watson Explorer is ranked 9th in Data Mining while Wizdee [EOL] doesn't meet the minimum requirements to be ranked in Data Mining. IBM Watson Explorer is rated 8.4, while Wizdee [EOL] is rated 0.0. 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, IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau, whereas Wizdee [EOL] is most compared with .

    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.