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SAS Analytics Reviews

Vendor: SAS
4.6 out of 5
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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.
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SAS Analytics is the #5 ranked solution in top Data Mining solutions. PeerSpot users give SAS Analytics an average rating of 9.2 out of 10. SAS Analytics is most commonly compared to KNIME Business Hub: SAS Analytics vs KNIME Business Hub. SAS Analytics is popular among the large enterprise segment, accounting for 57% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 19% of all views.
Buyer's Guide
Data Mining
August 2025
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SAS Analytics mindshare

As of September 2025, the mindshare of SAS Analytics in the Data Mining category stands at 7.8%, up from 7.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
SAS Analytics7.8%
KNIME Business Hub22.1%
IBM SPSS Modeler15.7%
Other54.4%
Data Mining
 
 
Key learnings from peers

Valuable Features

Valuable features include a variety of statistical concepts and techniques, extensive modeling options like PROC LIFETEST and PROC GPLOT, compatibility with numerous platforms, and the ability to handle large datasets. Its easy-to-use coding, especially for those familiar with SQL, and tools like E-Miner enhance predictive analytics. Automation through macros increases productivity, and interactive report creation supports widespread information sharing across teams. Users appreciate continual updates and improvements.
  • "I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app."
  • "The team immediately resolves the issues."
  • "All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."

Room for Improvement

SAS Analytics is considered costly and could be more user-friendly. Improvements are suggested for graphical features, visual outputs, and AI capabilities. Enhancements are needed in natural language querying, dashboard preparation, and technical support should be quicker and free. Self-service analytics require simplification, particularly for citizen data scientists. Users find migration to the cloud challenging, while integration of modules into one offering is sought after. Training difficulties and high setup costs are noted as areas for improvement.
  • "The natural language querying and automated preparation of dashboards should be improved."
  • "They could enhance the AI capabilities of the product."
  • "The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

Pricing

SAS Analytics pricing is perceived as relatively high compared to alternatives, with licensing straightforward but requiring a separate license for each module purchased. Setup costs are considered reasonable, yet the overall expense can be substantial, making it challenging for some to justify. Enterprises appreciate the cost-benefit balance, but the price can deter wider adoption, as evaluations rate it nine out of ten in terms of costliness. Licensing generally covers extensive usage for teams.
  • "I rate the product’s pricing a one out of ten."
  • "Our licensing covers the usage for around 50 data analysts."
  • "SAS is very expensive."

Popular Use Cases

Organizations primarily use SAS Analytics for quantitative analyses involving descriptive and inferential statistics. It supports data cleaning, predictive analytics, statistical modeling, such as logistic regression and survival analysis, and risk analytics. Teams employ it for CRM, retention marketing, business intelligence, financial system verification, and analytical data marts. Emphasis is placed on report generation, exploratory data analysis, and rapid data management in sectors like banking, insurance, and other industries for tasks like demand forecasting and inventory management.

Service and Support

Universities notice improved assistance. Basic support is considered satisfactory, though service without a special plan can be slow, taking three to four days for a response. Quick responses require a premium plan. Some users report satisfaction with infrequent support usage. Others find services effective in resolving issues but note they cost more than Microsoft's.

Deployment

SAS Analytics installation can be complex, especially on-premises, due to its dependencies. Some reported it as straightforward, citing experienced teams facilitating the process. It involves downloading a large ten-gigabyte file and can take several hours. While some found the enterprise guide challenging, using Python alongside SAS Analytics helps simplify tasks. Cloud versions are available and easier to use.

Scalability

SAS Analytics demonstrates scalability through its server and Cloud versions, accommodating large user bases and organizations planning to expand their teams. Users acknowledge its potential on Microsoft Azure, indicating readiness for future growth. Organizations with hundreds to thousands of users report favorable scalability experiences, rating it highly in accommodating large-scale operations. The platform supports a broad audience while preparing for further expansion, showcasing adaptability to increasing demands.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
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Review data by company size

By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise3
By reviewers
By visitors reading reviews
Company SizeCount
Small Business18
Midsize Enterprise21
Large Enterprise52
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
10%
Insurance Company
9%
Manufacturing Company
7%
University
6%
Educational Organization
6%
Retailer
4%
Construction Company
4%
Hospitality Company
3%
Performing Arts
3%
Healthcare Company
3%
Government
3%
Comms Service Provider
3%
Wholesaler/Distributor
2%
Energy/Utilities Company
2%
Legal Firm
2%
Media Company
2%
Non Profit
2%
Recreational Facilities/Services Company
2%
Real Estate/Law Firm
1%
Sports Company
1%
Transportation Company
1%
Pharma/Biotech Company
1%
Logistics Company
1%

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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

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SAS Analytics Reviews Summary
Author infoRatingReview Summary
Finance Business Intelligence at Banco Santander Mexico SA Institucion de Banca5.0No summary available
Solution Consulting, Growth, Analytics at Akinon3.5I use SAS Analytics for data preparation, exploration, and BI reporting. It excels in embedding interactive reports across platforms. However, the natural language functionality and cost need improvement, with expensive licensing and cloud requirements posing accessibility challenges.
CTO at a pharma/biotech company with 51-200 employees4.5No summary available
Director of Mergers and Acquisitions at Look Alive Investment Pvt. Ltd.5.0I use SAS Analytics for Business Intelligence, particularly for data analysis and report generation. While it serves its purpose, there's room for improvement in AI capabilities. I've used other solutions like Cobalt and Microsoft Office in previous roles.
Global Data Architecture and Data Science Director at FH4.5No summary available
Vice President Commercial IT Systems and Digital Channels at a aerospace/defense firm with 10,001+ employees4.5No summary available
Vice President, Business Analysis & Performance at Starboard Cruise Services4.5No summary available
Senior Biostatistician at a healthcare company with 10,001+ employees4.5No summary available