We changed our name from IT Central Station: Here's why

IBM SPSS Modeler vs SAS Analytics comparison

You must select at least 2 products to compare!
IBM SPSS Modeler Logo
7,053 views|5,659 comparisons
SAS Analytics Logo
1,565 views|1,325 comparisons
Featured Review
Find out what your peers are saying about IBM SPSS Modeler vs. SAS Analytics and other solutions. Updated: January 2022.
563,780 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:
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.""Very good data aggregation.""The supervised models are valuable. It is also very organized and easy to use.""Automation is great and this product is very organized.""It is a great product for running statistical analysis."

More IBM SPSS Modeler Pros →

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

More SAS Analytics Pros →

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way.""Dimension reduction should be classified separately.""It would be good if IBM added help resources to the interface.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""Requires more development."

More IBM SPSS Modeler Cons →

"The installation could also be easier, and the price could be better.""One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist.""The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

More SAS Analytics Cons →

Pricing and Cost Advice
  • "$5,000 annually."
  • "This tool, being an IBM product, is pretty expensive."
  • "Its price is okay for a company, but for personal use, it is considered somewhat expensive."
  • More IBM SPSS Modeler 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."
  • More SAS Analytics Pricing and Cost Advice →

    Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
    563,780 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: 
    The supervised models are valuable. It is also very organized and easy to use.
    Top Answer: 
    Its price is okay for a company, but for personal use, it is considered somewhat expensive.
    Top Answer: 
    Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is… more »
    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 »
    out of 16 in Data Mining
    Average Words per Review
    out of 16 in Data Mining
    Average Words per Review
    Also Known As
    SPSS Modeler
    Learn More

    IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

    Sign up for the trial

    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.
    Learn more about IBM SPSS Modeler
    Learn more about SAS Analytics
    Sample Customers
    Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
    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
    Top Industries
    Financial Services Firm15%
    Manufacturing Company12%
    Comms Service Provider25%
    Computer Software Company19%
    Educational Organization8%
    Healthcare Company25%
    Financial Services Firm25%
    Aerospace/Defense Firm13%
    Computer Software Company25%
    Comms Service Provider21%
    Financial Services Firm8%
    Company Size
    Small Business24%
    Midsize Enterprise6%
    Large Enterprise71%
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    Find out what your peers are saying about IBM SPSS Modeler vs. SAS Analytics and other solutions. Updated: January 2022.
    563,780 professionals have used our research since 2012.

    IBM SPSS Modeler is ranked 3rd in Data Mining with 5 reviews while SAS Analytics is ranked 6th in Data Mining with 3 reviews. IBM SPSS Modeler is rated 8.4, while SAS Analytics is rated 9.0. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of SAS Analytics writes "A user-friendly, easy coding analytics solution that is good for typical predictive analytics". IBM SPSS Modeler is most compared with IBM Watson Studio, KNIME, IBM SPSS Statistics, Alteryx and Amazon SageMaker, whereas SAS Analytics is most compared with KNIME, Oracle Advanced Analytics, Weka, SAS Enterprise Miner and IBM Watson Explorer. See our IBM SPSS Modeler vs. SAS Analytics report.

    See our list of best Data Mining vendors.

    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.