IBM Watson Explorer vs Verix Limelight comparison

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103 views|79 comparisons
100% willing to recommend
Verix Logo
97 views|70 comparisons
100% willing to recommend
Executive Summary

We performed a comparison between IBM Watson Explorer and Verix Limelight 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).
768,740 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:
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
Views
97
Comparisons
70
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.
768,740 professionals have used our research since 2012.
Comparisons
Also Known As
IBM WEX
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Verix
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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.

Verix Limelight harnesses the power of data science and advanced analytics to drive performance across commercial organization’s business processes. Through analysis of a wide variety of data with embedded business logic, Limelight powers your business decisions in a continuous and consistent manner.

Verix Limelight offers pre-packaged use cases for life sciences commercial operations – sales, managed access and marketing professionals, to automate and optimize day to day processes. Limelight’s use cases are implemented on top of Verix’s robust Data Intelligence Foundation, a ML enabled commercial DataMart that holds hundreds of historical, factual, and predictive attributes about every HCP/account in your therapeutic universe.

Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
P&G, Accenture, Roche Diagnostics, KV Pharmaceutical, The Nielsen Company, HealthCare Pharmaceuticals, Bayer HealthCare Pharmaceuticals
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%
REVIEWERS
Small Business14%
Midsize Enterprise14%
Large Enterprise71%
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.
768,740 professionals have used our research since 2012.

IBM Watson Explorer is ranked 9th in Data Mining while Verix Limelight is ranked 52nd in BI (Business Intelligence) Tools. IBM Watson Explorer is rated 8.4, while Verix Limelight is rated 10.0. 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, the top reviewer of Verix Limelight writes "11 Different reporting platforms gave us a headache and outdated business analytics". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Microsoft Power BI and Tableau, whereas Verix Limelight 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.