Compare IBM SPSS Modeler vs. SAS Analytics

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IBM SPSS Modeler Logo
8,150 views|6,422 comparisons
SAS Analytics Logo
1,741 views|1,396 comparisons
Most Helpful Review
Find out what your peers are saying about IBM SPSS Modeler vs. SAS Analytics and other solutions. Updated: July 2021.
521,189 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
"Very good data aggregation.""It is a great product for running statistical analysis.""Automation is great and this product is very organized.""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.""The supervised models are valuable. It is also very organized and easy to use."

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"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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Cons
"Requires more development.""It would be good if IBM added help resources to the interface.""Dimension reduction should be classified separately.""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.""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."

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"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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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."

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

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Questions from the Community
Top Answer: There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general… more »
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: 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 »
Ranking
3rd
out of 16 in Data Mining
Views
8,150
Comparisons
6,422
Reviews
5
Average Words per Review
501
Rating
8.4
6th
out of 16 in Data Mining
Views
1,741
Comparisons
1,396
Reviews
3
Average Words per Review
354
Rating
9.0
Popular Comparisons
Also Known As
SPSS Modeler
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Overview

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.

Buy
https://www.ibm.com/products/spss-modeler/pricing
 
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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


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.
Offer
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
REVIEWERS
University23%
Financial Services Firm15%
Manufacturing Company12%
Government12%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company19%
Educational Organization8%
Financial Services Firm6%
REVIEWERS
Healthcare Company29%
Financial Services Firm29%
Retailer14%
Aerospace/Defense Firm14%
VISITORS READING REVIEWS
Comms Service Provider20%
Computer Software Company18%
Financial Services Firm10%
Educational Organization9%
Company Size
REVIEWERS
Small Business24%
Midsize Enterprise6%
Large Enterprise71%
REVIEWERS
Small Business10%
Midsize Enterprise10%
Large Enterprise80%
Find out what your peers are saying about IBM SPSS Modeler vs. SAS Analytics and other solutions. Updated: July 2021.
521,189 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 SPSS Statistics, Alteryx, KNIME, IBM Watson Studio and Databricks, whereas SAS Analytics is most compared with KNIME, Oracle Advanced Analytics, IBM Watson Explorer, SAS Enterprise Miner and Weka. See our IBM SPSS Modeler vs. SAS Analytics report.

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