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SAS Enterprise Miner vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

SAS Enterprise Miner
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
13
Ranking in other categories
Data Mining (7th), Data Science Platforms (24th)
SAS Visual Analytics
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
Data Visualization (10th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. SAS Enterprise Miner is designed for Data Mining and holds a mindshare of 4.8%, up 4.4% compared to last year.
SAS Visual Analytics, on the other hand, focuses on Data Visualization, holds 1.9% mindshare, down 4.7% since last year.
Data Mining Market Share Distribution
ProductMarket Share (%)
SAS Enterprise Miner4.8%
IBM SPSS Modeler19.1%
IBM SPSS Statistics18.5%
Other57.599999999999994%
Data Mining
Data Visualization Market Share Distribution
ProductMarket Share (%)
SAS Visual Analytics1.9%
Tableau Enterprise10.1%
Qlik Sense5.3%
Other82.7%
Data Visualization
 

Featured Reviews

reviewer1352853 - PeerSpot reviewer
Executive Head of analytics at a retailer with 5,001-10,000 employees
A stable product that is easy to deploy and can be used for structured and unstructured data mining
We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…
AN
Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION
Enables effective data management and reporting with a straightforward setup
SAS Visual Analytics is helpful as it allows us to perform any queries we need. The ability to query information from our Excel data into SAS to view specific data is invaluable. In terms of reporting, it is easy to extract quick reports and provides graphical representations of the data, which is a great feature.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"he solution is scalable."
"The technical support is very good."
"The most valuable feature is the decision tree creation."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The solution is able to handle quite large amounts of data beautifully."
"The solution is very good for data mining or any mining issues."
"Good data management and analytics."
"I like the way the product visually shows the data pipeline."
"It is a very stable solution."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"Simplifies report designs and quickly displays tables and graphs."
"We've found the product to be stable and reliable."
"The visualization capabilities and the email functionality are most beneficial."
"I use Visual Analytics for enterprise reporting."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
 

Cons

"The ease of use can be improved. When you are new it seems a bit complex."
"The user interface of the solution needs improvement. It needs to be more visual."
"The initial setup is challenging if doing it for the first time."
"The solution is much more complex than other options."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"Technical support could be improved."
"The product must provide better integration with cloud-native technologies."
"The visualization of the models is not very attractive, so the graphics should be improved."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"SAS Visual Analytics could be more user-friendly."
"The integration aspects of the solution could be improved."
"The licensing ends up being more expensive than other options."
"Colours used on report objects"
 

Pricing and Cost Advice

"This solution is for large corporations because not everybody can afford it."
"The solution must improve its licensing models."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
"The cost of the solution can be expensive. There is an additional cost for users."
"$10,000 per annum for an enterprise license."
"Licensing is simple."
"It's approximately $114,000 US dollars per year."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"The product is quite expensive."
"The product is expensive."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Educational Organization
11%
Manufacturing Company
10%
University
8%
Financial Services Firm
16%
Government
10%
Computer Software Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise7
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
What is your primary use case for SAS Visual Analytics?
I started to work with SAS Visual Analytics ( /products/sas-visual-analytics-reviews ) in 2015. We use it for analysis on ICT expenditure information and ICT personnel information. The analytics ar...
 

Also Known As

Enterprise Miner
SAS BI
 

Overview

 

Sample Customers

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: January 2026.
881,455 professionals have used our research since 2012.