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SAS Enterprise Miner Reviews

Vendor: SAS
3.8 out of 5

What is SAS Enterprise Miner?

Featured SAS Enterprise Miner reviews

SAS Enterprise Miner mindshare

Product category:
As of September 2025, the mindshare of SAS Enterprise Miner in the Data Mining category stands at 5.8%, up from 3.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
SAS Enterprise Miner5.8%
KNIME Business Hub22.1%
IBM SPSS Modeler15.7%
Other56.4%
Data Mining
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Scalability

Stability

Review data by company size

By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise4
By reviewers
By visitors reading reviews
Company SizeCount
Small Business19
Midsize Enterprise18
Large Enterprise88
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
25%
Educational Organization
13%
University
11%
Manufacturing Company
9%
Insurance Company
6%
Healthcare Company
6%
Government
5%
Computer Software Company
4%
Legal Firm
3%
Pharma/Biotech Company
3%
Construction Company
2%
Media Company
2%
Retailer
2%
Real Estate/Law Firm
2%
Wholesaler/Distributor
1%
Energy/Utilities Company
1%
Logistics Company
1%
Outsourcing Company
1%
Performing Arts
1%
Recreational Facilities/Services Company
1%
Recruiting/Hr Firm
1%
Renewables & Environment Company
1%
Transportation Company
1%
Venture Capital & Private Equity Firm
1%
Comms Service Provider
1%
 
SAS Enterprise Miner Reviews Summary
Author infoRatingReview Summary
Executive Head of analytics at a retailer with 5,001-10,000 employees4.5I use SAS Enterprise Miner for predictive analytics, benefiting from its visual data pipeline. However, it needs better integration with cloud-native technologies to enhance its effectiveness in structured and unstructured data mining.
Head Of Risk Management at a financial services firm with 11-50 employees4.0No summary available
Senior Systems Engineer at a financial services firm with 10,001+ employees2.5No summary available
Professor at a university with 1,001-5,000 employees4.5No summary available
Executive Head of analytics at a retailer with 5,001-10,000 employees4.0I use SAS Enterprise Miner primarily for data management and analytics, and its integration is excellent. However, it is very costly and not suitable for small businesses. Technical support also needs improvement.
Business Intelligence Developer at a media company with 1,001-5,000 employees4.0No summary available
Data Analyst at a financial services firm with 201-500 employees4.0No summary available
Analytics Lead at Pegasus4.0No summary available