SAS Analytics OverviewUNIXBusinessApplication

SAS Analytics is the #6 ranked solution in our list of top Data Mining tools. It is most often compared to KNIME: SAS Analytics vs KNIME

What is SAS Analytics?
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.
Buyer's Guide

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SAS Analytics 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
SAS Analytics Video

Pricing Advice

What users are saying about SAS Analytics pricing:
  • "SAS is very expensive."
  • "I think that the cost-benefit ratio is okay."

SAS Analytics Reviews

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Ariful Mondal
Consulting Practice Partner - Data, Analytics & AI at a tech consulting company with 10,001+ employees
Real User
Top 5Leaderboard
A user-friendly, easy coding analytics solution that is good for typical predictive analytics

What is our primary use case?

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 analytics, but I plan to extend it to marketing and other departments as well. The primary focus here is risk analytics and portfolio management in this organization. But in the past, I have used it in various industries for numerous use cases like demand forecasting, inventory management, customer relationship management, strategic analytics, M&A, HR analytics, business intelligence, and analytical… more »

Pros and Cons

  • "It's very easy to use once you learn it."
  • "The installation could also be easier, and the price could be better."

What other advice do I have?

I would recommend SAS for large organizations because of the cost of this enterprise-level solution. For a small organization, I would recommend a cheaper solution. On a scale from one to ten, I would give SAS a nine rating.
Dieter Steinmann
Vice President Commercial IT Systems and Digital Channels at a aerospace/defense firm with 10,001+ employees
Real User
Top 5Leaderboard
Good reporting and technical support, and it has the right cost-benefit balance

What is our primary use case?

Our primary use case is analytics and reporting in our production area.

Pros and Cons

  • "The technical support is okay."
  • "One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist."

What other advice do I have?

In summary, this is a good product and I can recommend it to others. I would rate this solution a nine out of ten.
Find out what your peers are saying about SAS, Knime, Oracle and others in Data Mining. Updated: September 2021.
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Mike Turek
Vice President, Business Analysis & Performance at Starboard Cruise Services
Real User
Top 20
Ability to handle large datasets has helped us grow our business

What is our primary use case?

We use this solution for CRM and retention marketing.

How has it helped my organization?

This solution has helped us materially grow multiple business categories.

What is most valuable?

The most valuable feature is the ability to handle large data sets.

What needs improvement?

This solution should be made more user-friendly. It needs a better visual output to explain logic to senior executives.

For how long have I used the solution?

I have been using this solution for ten years.
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Buyer's Guide
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