Compare IBM Smart Analytics vs. SAS Analytics

Cancel
You must select at least 2 products to compare!
IBM Smart Analytics Logo
76 views|23 comparisons
SAS Analytics Logo
1,768 views|1,419 comparisons
Most Helpful Review
Use IBM Smart Analytics? Share your opinion.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: June 2021.
510,882 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:

Pricing and Cost Advice
Information Not Available
"I think that the cost-benefit ratio is okay.""SAS is very expensive."

More SAS Analytics Pricing and Cost Advice »

report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
510,882 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

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
13th
out of 16 in Data Mining
Views
76
Comparisons
23
Reviews
0
Average Words per Review
0
Rating
N/A
6th
out of 16 in Data Mining
Views
1,768
Comparisons
1,419
Reviews
3
Average Words per Review
354
Rating
9.0
Popular Comparisons
Also Known As
Smart Analytics
Learn More
Overview
The IBM Smart Analytics System offers a wide range of analytics capabilities, enabling you to consume information in the most digestible format, gain insight, and make smarter decisions today and into the future.
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 Smart Analytics
Learn more about SAS Analytics
Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS Retail
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
No Data Available
REVIEWERS
Healthcare Company29%
Financial Services Firm29%
Insurance Company14%
Retailer14%
VISITORS READING REVIEWS
Comms Service Provider19%
Computer Software Company18%
Financial Services Firm10%
Educational Organization9%
Company Size
No Data Available
REVIEWERS
Small Business10%
Midsize Enterprise10%
Large Enterprise80%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: June 2021.
510,882 professionals have used our research since 2012.

IBM Smart Analytics is ranked 13th in Data Mining while SAS Analytics is ranked 6th in Data Mining with 3 reviews. IBM Smart Analytics is rated 0.0, while SAS Analytics is rated 9.0. 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 Smart Analytics is most compared with Weka, whereas SAS Analytics is most compared with KNIME, IBM SPSS Modeler, Oracle Advanced Analytics, IBM Watson Explorer and Weka.

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.