Compare IBM Watson Explorer vs. SAS Enterprise Miner

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Most Helpful Review
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Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2020.
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Pricing and Cost Advice
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"This solution is for large corporations because not everybody can afford it."

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Top Answer: The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.
Top Answer: The license is really expensive. This solution is for large corporations because not everybody can afford it. It is a little bit tricky because you have to buy a license for each and every component… more »
Top Answer: The visualization of the models is not very attractive, so the graphics should be improved. I would like to see the user interface improved a bit.
Ranking
8th
out of 15 in Data Mining
Views
1,605
Comparisons
872
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 15 in Data Mining
Views
3,941
Comparisons
2,986
Reviews
8
Average Words per Review
389
Avg. Rating
7.8
Popular Comparisons
Compared 31% of the time.
Compared 11% of the time.
Compared 10% of the time.
Compared 10% of the time.
Compared 6% of the time.
Compared 11% of the time.
Compared 8% of the time.
Also Known As
IBM WEXEnterprise Miner
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IBM
SAS
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.

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
Offer
Learn more about IBM Watson Explorer
Learn more about SAS Enterprise Miner
Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, HondaGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
VISITORS READING REVIEWS
Computer Software Company34%
Government14%
Comms Service Provider9%
K 12 Educational Company Or School8%
VISITORS READING REVIEWS
Computer Software Company32%
Media Company9%
Insurance Company7%
Financial Services Firm7%
Company Size
REVIEWERS
Small Business20%
Midsize Enterprise20%
Large Enterprise60%
REVIEWERS
Small Business20%
Midsize Enterprise40%
Large Enterprise40%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2020.
443,152 professionals have used our research since 2012.
IBM Watson Explorer is ranked 8th in Data Mining while SAS Enterprise Miner is ranked 4th in Data Mining with 8 reviews. IBM Watson Explorer is rated 0.0, while SAS Enterprise Miner is rated 7.8. On the other hand, the top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". IBM Watson Explorer is most compared with SAS Analytics, IBM Cognos, Tableau, Microsoft BI and Weka, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, SAS Visual Analytics, Amazon SageMaker and KNIME.

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