SAS Analytics vs SAS Enterprise Miner comparison

SAS Analytics and SAS Enterprise Miner are both solutions in the Data Mining category. SAS Analytics is ranked #5 with an average rating of 9.0, while SAS Enterprise Miner is ranked #7 with an average rating of 9.0. SAS Analytics holds a 6.6% mindshare in DM, compared to SAS Enterprise Miner’s 4.2% mindshare. Additionally, 94% of SAS Analytics users are willing to recommend the solution, compared to 93% of SAS Enterprise Miner users who would recommend it.

SAS Analytics

Read 11 SAS Analytics reviews

587 Views
399 Comparison Views

94% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

294 Views
227 Comparison Views

93% willing to recommend

SAS Analytics

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between SAS Analytics and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAS Analytics vs. SAS Enterprise Miner Report (Updated: April 2025).

Buyer's Guide

SAS Analytics vs. SAS Enterprise Miner

April 2025

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Helped 849,686 peers since 2012

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 Analytics

Ranking in Data Mining

5th

Average Rating

9.2

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Enterprise Miner

Ranking in Data Mining

7th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Science Platforms (18th)

Mindshare comparison

As of May 2025, in the Data Mining category, the mindshare of SAS Analytics is 6.6%, down from 8.9% compared to the previous year. The mindshare of SAS Enterprise Miner is 4.2%, down from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining

Featured Reviews

AltanAtabarut

Solution Consulting, Growth, Analytics at Akinon

Good interactive reports and dashboards but expensive to run

You need to constantly jump from data prep to visualization, then back to data for fixing quality, enriching, and visualizing again. Then you start modeling and need to switch back and forth again. Eventually, you have to democratize the results so that anyone can look and interactively question the underlying insights. For all of these purposes - data to BI or data to AI to BI - it is never a linear one way relationship; it's rather a closed loop for continuous analysis monitoring and sharing. If used this way, SAS Visual analytics can enable continuous improvement and innovation in a corporation.

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reviewer1352853

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…

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Quotes from Members

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

Pros

"Modeling ones and figures, such as PROC LIFETEST, PROC LOGISTICS, PROC GPLOT. PROC FREQ and PROC MEANS, are also among the valuable features."

"It's very easy to use once you learn it."

"The team immediately resolves the issues."

"It has facilitated timely analysis results with quality work and meaningful output."

"It has improved the level of efficacy and validity of our reports."

"SAS Business Intelligence is well-suited for our large corporation. We have demand for scalable and reliable insights into information which is housed in our large systems."

"I use it to replicate our entire financial system to verify/duplicate calculations."

"The most valuable feature is the ability to handle large data sets."

More SAS Analytics pros

"I like the way the product visually shows the data pipeline."

"he solution is scalable."

"The solution is very good for data mining or any mining issues."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"Good data management and analytics."

"The most valuable feature is the decision tree creation."

"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."

"The technical support is very good."

More SAS Enterprise Miner pros

Cons

"The installation could also be easier, and the price could be better."

"They could enhance the AI capabilities of the product."

"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

"I would like to see their interface to R added to either Base SAS or SAS Analytics."

"Support at universities used to be limited, but I hear this is changing."

"The natural language querying and automated preparation of dashboards should be improved."

"One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."

"The training for SAS Business Intelligence is often difficult to arrange. It is often cancelled due to not enough people being enrolled."

More SAS Analytics cons

"Technical support could be improved."

"The product must provide better integration with cloud-native technologies."

"The initial setup is challenging if doing it for the first time."

"The solution is much more complex than other options."

"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."

"Virtualization could be much better."

"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."

"The user interface of the solution needs improvement. It needs to be more visual."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"It is relatively expensive. It is not an easy software to afford."

"SAS is very expensive."

"I think that the cost-benefit ratio is okay."

"Licensing was rather straightforward."

"Setup costs were quite reasonable."

"I rate the product’s pricing a one out of ten."

"The cost for SAS Business Intelligence can prove to be a little prohibitive."

"Prices were comparable with alternative solutions."

More SAS Analytics pricing and cost advice

"This solution is for large corporations because not everybody can afford it."

"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 solution must improve its licensing models."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

11%

Educational Organization

Insurance Company

Financial Services Firm

25%

University

12%

Educational Organization

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about SAS Analytics?

I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.

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What needs improvement with SAS Analytics?

SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.

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What is your primary use case for SAS Analytics?

I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...

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What do you like most about SAS Enterprise Miner?

I like the way the product visually shows the data pipeline.

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What is your experience regarding pricing and costs for SAS Enterprise Miner?

The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...

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What needs improvement with SAS Enterprise Miner?

The product must provide better integration with cloud-native technologies.

See all answers

Comparisons

KNIME vs SAS Analytics

Compared 40% of the time

IBM SPSS Statistics vs SAS Analytics

Compared 18% of the time

Weka vs SAS Analytics

Compared 15% of the time

Oracle Advanced Analytics vs SAS Analytics

Compared 13% of the time

IBM SPSS Modeler vs SAS Analytics

Compared 13% of the time

More SAS Analytics Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 29% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 23% of the time

KNIME vs SAS Enterprise Miner

Compared 21% of the time

Altair RapidMiner vs SAS Enterprise Miner

Compared 18% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 9% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Data Mining

April 2025

Download SAS Analytics product report

Buyer's Guide

Data Mining

April 2025

Download SAS Enterprise Miner product report

Also Known As

No data available

Enterprise Miner

Overview

SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.

SAS

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.

SAS

Sample Customers

Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

SAS Analytics vs. SAS Enterprise Miner

April 2025

Free Report: SAS Analytics vs. SAS Enterprise Miner

Find out what your peers are saying about SAS Analytics vs. SAS Enterprise Miner and other solutions. Updated: April 2025.

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