Compare IBM Smart Analytics vs. SAS Enterprise Miner

IBM Smart Analytics is ranked 12th in Data Mining while SAS Enterprise Miner is ranked 3rd in Data Mining with 8 reviews. IBM Smart Analytics is rated 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 Smart Analytics is most compared with , whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner, SAS Visual Analytics, KNIME and Amazon SageMaker.
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430,223 professionals have used our research since 2012.
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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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Ranking
12th
out of 16 in Data Mining
Views
107
Comparisons
44
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
3rd
out of 16 in Data Mining
Views
4,154
Comparisons
3,130
Reviews
8
Average Words per Review
389
Avg. Rating
7.8
Popular Comparisons
Compared 13% of the time.
Compared 7% of the time.
Also Known As
Smart AnalyticsEnterprise Miner
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IBM
SAS
Overview
The IBM Smart Analytics System offers a wide range of analytics capabilities, enabling you to consume information in the most digestible format, gain insight, and make smarter decisions today and into the future.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.
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Learn more about IBM Smart Analytics
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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS RetailGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company34%
Media Company11%
Insurance Company8%
Financial Services Firm8%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2020.
430,223 professionals have used our research since 2012.

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