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SAS Enterprise Miner pros and cons

Vendor: SAS
3.8 out of 5

Pros & Cons summary

Buyer's Guide

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Prominent pros & cons

PROS

Setup is straightforward with SAS Enterprise Miner, allowing deployment in under 30 minutes.
SAS Enterprise Miner excels in decision tree creation and supports the use of multiple algorithms for model comparison.
The platform is highly scalable and effectively handles large amounts of data.
SAS Enterprise Miner offers excellent data management and analytics capabilities.
The technical support provided for SAS Enterprise Miner is very strong.

CONS

SAS Enterprise Miner has stability issues when running on different Java versions, requiring monthly system restarts.
Virtualization capabilities of SAS Enterprise Miner need improvement.
Technical support for SAS Enterprise Miner could be enhanced.
SAS Enterprise Miner is more complex compared to other options.
Initial setup of SAS Enterprise Miner is challenging for first-time users.
 

SAS Enterprise Miner Pros review quotes

reviewer978702 - PeerSpot reviewer
Founder and CEO with 11-50 employees
Nov 13, 2019
The setup is straightforward. Deployment doesn't take more than 30 minutes.
it_user1045842 - PeerSpot reviewer
Director at EBI
Dec 13, 2019
he solution is scalable.
reviewer1125450 - PeerSpot reviewer
Senior Business Analyst at a financial services firm with 1,001-5,000 employees
Dec 11, 2019
The solution is very good for data mining or any mining issues.
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: December 2025.
879,986 professionals have used our research since 2012.
SP
Analytics Lead at Pegasus
Dec 23, 2019
Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.
it_user1272276 - PeerSpot reviewer
Data Analyst at a financial services firm with 201-500 employees
Jan 29, 2020
The most valuable feature is the decision tree creation.
HS
Business Intelligence Developer at a media company with 1,001-5,000 employees
Feb 5, 2020
The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.
reviewer1352853 - PeerSpot reviewer
Executive Head of analytics at a retailer with 5,001-10,000 employees
Jan 1, 2023
Good data management and analytics.
reviewer1388421 - PeerSpot reviewer
Professor at a university with 1,001-5,000 employees
Jul 26, 2020
The solution is able to handle quite large amounts of data beautifully.
reviewer1447110 - PeerSpot reviewer
Senior Systems Engineer at a financial services firm with 10,001+ employees
Nov 8, 2020
The technical support is very good.
AK
Head Of Risk Management at a financial services firm with 11-50 employees
Jan 24, 2021
I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.
 

SAS Enterprise Miner Cons review quotes

reviewer978702 - PeerSpot reviewer
Founder and CEO with 11-50 employees
Nov 13, 2019
The user interface of the solution needs improvement. It needs to be more visual.
it_user1045842 - PeerSpot reviewer
Director at EBI
Dec 13, 2019
The solution needs an easier interface for the user. The user experience isn't so easy for our clients.
reviewer1125450 - PeerSpot reviewer
Senior Business Analyst at a financial services firm with 1,001-5,000 employees
Dec 11, 2019
The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.
Find out what your peers are saying about SAS, IBM, Knime and others in Data Mining. Updated: December 2025.
879,986 professionals have used our research since 2012.
SP
Analytics Lead at Pegasus
Dec 23, 2019
Virtualization could be much better.
it_user1272276 - PeerSpot reviewer
Data Analyst at a financial services firm with 201-500 employees
Jan 29, 2020
The ease of use can be improved. When you are new it seems a bit complex.
HS
Business Intelligence Developer at a media company with 1,001-5,000 employees
Feb 5, 2020
The visualization of the models is not very attractive, so the graphics should be improved.
reviewer1352853 - PeerSpot reviewer
Executive Head of analytics at a retailer with 5,001-10,000 employees
Jan 1, 2023
Technical support could be improved.
reviewer1388421 - PeerSpot reviewer
Professor at a university with 1,001-5,000 employees
Jul 26, 2020
While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.
reviewer1447110 - PeerSpot reviewer
Senior Systems Engineer at a financial services firm with 10,001+ employees
Nov 8, 2020
The solution is much more complex than other options.
AK
Head Of Risk Management at a financial services firm with 11-50 employees
Jan 24, 2021
The initial setup is challenging if doing it for the first time.