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SAS Analytics vs SAS Enterprise Miner comparison

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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
"The technical support is okay.""All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team.""It's very easy to use once you learn it."

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"The technical support is very good.""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."

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Cons
"The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities.""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 solution is much more complex than other options.""The initial setup is challenging if doing it for the first time."

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Pricing and Cost Advice
  • "I think that the cost-benefit ratio is okay."
  • "SAS is very expensive."
  • "Our licensing covers the usage for around 50 data analysts."
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  • "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."
  • More SAS Enterprise Miner Pricing and Cost Advice →

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    620,319 professionals have used our research since 2012.
    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: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
    5th
    out of 16 in Data Mining
    Views
    1,449
    Comparisons
    1,187
    Reviews
    3
    Average Words per Review
    458
    Rating
    9.0
    8th
    out of 16 in Data Mining
    Views
    2,317
    Comparisons
    1,823
    Reviews
    2
    Average Words per Review
    400
    Rating
    6.5
    Comparisons
    Also Known As
    Enterprise Miner
    Learn More
    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 Company22%
    Financial Services Firm22%
    Insurance Company11%
    Retailer11%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider19%
    Financial Services Firm10%
    Manufacturing Company6%
    REVIEWERS
    Financial Services Firm57%
    Media Company14%
    Retailer14%
    University14%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm15%
    Comms Service Provider14%
    Government6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise9%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise65%
    REVIEWERS
    Small Business25%
    Midsize Enterprise33%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    SAS Analytics vs. SAS Enterprise Miner
    July 2022
    Find out what your peers are saying about SAS Analytics vs. SAS Enterprise Miner and other solutions. Updated: July 2022.
    620,319 professionals have used our research since 2012.

    SAS Analytics is ranked 5th in Data Mining with 3 reviews while SAS Enterprise Miner is ranked 8th in Data Mining with 2 reviews. SAS Analytics is rated 9.0, while SAS Enterprise Miner is rated 6.6. 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 technical support but too complex and not open-source". SAS Analytics is most compared with KNIME, Oracle Advanced Analytics, Weka, IBM SPSS Modeler and IBM SPSS Statistics, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, RapidMiner and Alteryx. See our SAS Analytics vs. SAS Enterprise Miner report.

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    We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.