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Most Helpful Review
Find out what your peers are saying about SAS Analytics vs. SAS Enterprise Miner and other solutions. Updated: May 2021.
502,499 professionals have used our research since 2012.
Quotes From Members

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

Pros
"The most valuable feature is the ability to handle large data sets.""The technical support is okay.""It's very easy to use once you learn it."

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"The setup is straightforward. Deployment doesn't take more than 30 minutes.""The solution is very good for data mining or any mining issues.""he solution is scalable.""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 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.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"This solution should be made more user-friendly.""One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist.""The installation could also be easier, and the price could be better."

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"The user interface of the solution needs improvement. It needs to be more visual.""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 solution needs an easier interface for the user. The user experience isn't so easy for our clients.""Virtualization could be much better.""The ease of use can be improved. When you are new it seems a bit complex.""The visualization of the models is not very attractive, so the graphics should be improved.""Technical support could be improved.""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."

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Pricing and Cost Advice
"I think that the cost-benefit ratio is okay.""SAS is very expensive."

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"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."

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Questions from the Community
Top Answer: It's very easy to use once you learn it.
Top Answer: They should provide technical support quickly and for free. I would also like them to offer the integration of various Base SAS modules into one like SAS Studio to make it more cost effective for… more »
Top Answer: We use SAS Analytics for all data analysis, quick exploratory data analysis, statistical analysis, predictive modeling, and rapid data management in risk analytics. Predominantly, we're using risk… more »
Top Answer: The technical support is very good.
Top Answer: We'd prefer it if the solution was open source. That would make it less expensive.
Top Answer: We really don't like the protocols the solution offers. The solution is much more complex than other options.
Ranking
6th
out of 16 in Data Mining
Views
1,838
Comparisons
1,485
Reviews
3
Average Words per Review
354
Rating
9.0
4th
out of 16 in Data Mining
Views
3,283
Comparisons
2,498
Reviews
10
Average Words per Review
391
Rating
7.5
Popular Comparisons
Also Known As
Enterprise Miner
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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 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.
Offer
Learn more about SAS Analytics
Learn more about SAS Enterprise Miner
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
Top Industries
REVIEWERS
Healthcare Company29%
Financial Services Firm29%
Insurance Company14%
Retailer14%
VISITORS READING REVIEWS
Comms Service Provider21%
Computer Software Company19%
Educational Organization9%
Financial Services Firm9%
REVIEWERS
Financial Services Firm57%
Media Company14%
Retailer14%
University14%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider13%
Financial Services Firm12%
Government7%
Company Size
REVIEWERS
Small Business10%
Midsize Enterprise10%
Large Enterprise80%
REVIEWERS
Small Business25%
Midsize Enterprise33%
Large Enterprise42%
Find out what your peers are saying about SAS Analytics vs. SAS Enterprise Miner and other solutions. Updated: May 2021.
502,499 professionals have used our research since 2012.

SAS Analytics is ranked 6th in Data Mining with 3 reviews while SAS Enterprise Miner is ranked 4th in Data Mining with 10 reviews. SAS Analytics is rated 9.0, while SAS Enterprise Miner is rated 7.6. The top reviewer of SAS Analytics writes "A user-friendly, easy coding analytics solution that is good for typical predictive analytics". On the other hand, the top reviewer of SAS Enterprise Miner writes "Good GUI, an easy initial setup, and very flexible". SAS Analytics is most compared with KNIME, IBM SPSS Modeler, IBM Watson Explorer and Oracle Advanced Analytics, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, Amazon SageMaker, RapidMiner and Alteryx. See our SAS Analytics vs. SAS Enterprise Miner report.

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