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SAS Analytics OverviewUNIXBusinessApplication

SAS Analytics is #5 ranked solution in top Data Mining tools. PeerSpot users give SAS Analytics an average rating of 9.0 out of 10. SAS Analytics is most commonly compared to KNIME: SAS Analytics vs KNIME. SAS Analytics is popular among the large enterprise segment, accounting for 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a comms service provider, accounting for 20% of all views.
Buyer's Guide

Download the Data Mining Buyer's Guide including reviews and more. Updated: September 2022

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.
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

SAS Analytics Pricing Advice

What users are saying about SAS Analytics pricing:
  • "SAS is very expensive."
  • "Our licensing covers the usage for around 50 data analysts."
  • "I think that the cost-benefit ratio is okay."
  • SAS Analytics Reviews

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    Ariful Mondal - PeerSpot reviewer
    Consulting Practice Partner - Data, Analytics & AI at FH
    Real User
    ExpertModerator
    A user-friendly, easy coding analytics solution that is good for typical predictive analytics
    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 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 data marts.

    I have also used SAS extensively for developing risk scoring models, model risk management, collection analytics, and marketing analytics very effectively for banking and financial services.

    What is most valuable?

    It's a very good tool for typical data analytics and reporting, data management. It's very easy to use once you learn. The coding is super easy. If you know SQL, you can start using SAS immediately. SAS E-Miner also a great tool for predictive analytics.

    Example codes:

    Libname mylib “A:\data”;

    Data tempdata;

    Set mylib.mydata; /* reading data set from the library mylib*/

    Or 

    Proc SQL:

    Create table temp as 

    Select * from mylib.mydata;

    quit;

    What needs improvement?

    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 small organization. The installation could also be easier, and the price could be better.

    For how long have I used the solution?

    I have been using SAS Analytics and SAS overall for almost 19 years.

    Buyer's Guide
    Data Mining
    September 2022
    Find out what your peers are saying about SAS, Knime, Oracle and others in Data Mining. Updated: September 2022.
    635,513 professionals have used our research since 2012.

    What do I think about the stability of the solution?

    SAS is a stable analytics tool.

    What do I think about the scalability of the solution?

    It's scalable because it has a SAS server version as well as Cloud version. For scalability, you need to get SAS server. They are also in the process to launch on Microsoft Azure Cloud.

    How are customer service and support?

    If you don't buy a special SAS support plan, they take time to respond. It takes at least three to four days to get a response back from them. You have to buy a premium support plan for a quick response. They should make technical support free or maybe make it much faster.

    Which solution did I use previously and why did I switch?

    I have also used Databricks, Azure ML Studio, SPSS, R Studio, Python, C++, Perl, SQL,  Power BI and Tableau for data management, data visualization and advanced analytics.

    How was the initial setup?

    The installation is little complex.  I think it's a ten-gigabyte file you have to download and install. SAS is not easy to install because it's dependencies and not simple like open-source. The last time my team installed it, I think it took two to three hours from end-to-end.

    Though there are SAS cloud versions available, which are easy to use.

    What about the implementation team?

    Our IT team installed it. Typically, anyone who can install applications at an enterprise level can do it. You just need a SAS administrator in your organization to install and maintain it. But if it's a personal computer, you can do it on your own with the lightweight version of the product. SAS also provides support if you buy it.

    What's my experience with pricing, setup cost, and licensing?

    SAS is very expensive. The challenge with them is that you have to pay for a license with every module you buy. They should probably combine everything and make it cheaper and light weight in Base Version.

    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.

    Which deployment model are you using for this solution?

    On-premises
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
    PeerSpot user
    CTO at a pharma/biotech company with 51-200 employees
    Real User
    Top 20
    An industry standard with many useful data analytics features
    Pros and Cons
    • "All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team."
    • "The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities."

    What is our primary use case?

    Our number one use case for SAS Analytics is data analytics. We have about 50 data analysts on our team who are currently using it day in and day out.

    What is most valuable?

    All of the data analytics features in SAS Analytics are valuable to us since we're using them daily across our entire analytics team. 

    What needs improvement?

    The graphing and visualization features could be enhanced, in my opinion. I would especially stress improving the visualization capabilities.

    For how long have I used the solution?

    I have been using SAS Analytics for seven years.

    What do I think about the stability of the solution?

    I think that SAS Analytics is stable. 

    What do I think about the scalability of the solution?

    Given that we have a team of 50 analysts, I would say SAS Analytics is scalable in this sense. It's probable that in the future we will add more users.

    How are customer service and support?

    We haven't really used the technical support much, but we are satisfied with them so far.

    Which solution did I use previously and why did I switch?

    We have only ever used SAS Analytics before because it is one of the industry standards and it's the solution that we started with.

    How was the initial setup?

    The setup was straightforward. 

    What about the implementation team?

    Our initial deployment only took about one day. We did it ourselves, and we currently employ two engineers to take care of the maintenance and any extra deployments. One is a system engineer and the other is the analytics lead on our team.

    What was our ROI?

    I have not yet seen ROI on SAS Analytics. 

    What's my experience with pricing, setup cost, and licensing?

    Our licensing covers the usage for around 50 data analysts.

    Which other solutions did I evaluate?

    The competing data analytics solutions we considered were R, Python, and other open source solutions.

    What other advice do I have?

    If you are in need of extensive visualizations, then I would recommend that you first check with SAS Analytics first, to find out whether they are able to offer the right visualization packages that you need. But for analytics and statistics, it's pretty good.

    I would rate SAS Analytics a nine out of ten. 

    Which deployment model are you using for this solution?

    On-premises
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
    Flag as inappropriate
    PeerSpot user
    Buyer's Guide
    Data Mining
    September 2022
    Find out what your peers are saying about SAS, Knime, Oracle and others in Data Mining. Updated: September 2022.
    635,513 professionals have used our research since 2012.
    Dieter Steinmann - PeerSpot reviewer
    Vice President Commercial IT Systems and Digital Channels at a aerospace/defense firm with 10,001+ employees
    Real User
    Top 10
    Good reporting and technical support, and it has the right cost-benefit balance
    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 is our primary use case?

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

    What needs improvement?

    One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist. It should be easier to use.

    It should be easier to migrate from the on-premises deployment to the cloud version.

    For how long have I used the solution?

    We have been using SAS Analytics for at least 15 years.

    What do I think about the scalability of the solution?

    We have approximately 1,000 users in our organization.

    How are customer service and technical support?

    The technical support is okay. If we have problems, they can fix them.

    Which solution did I use previously and why did I switch?

    We also have SAP Analytics in place.

    How was the initial setup?

    Being an on-premises installation, it is somewhat complex.

    What about the implementation team?

    We have an in-house team of six people who take care of deployment and maintenance.

    What's my experience with pricing, setup cost, and licensing?

    I think that the cost-benefit ratio is okay. It is the right balance.

    Which other solutions did I evaluate?

    At the time, we looked over some of the other products on the market and ultimately decided on SAS.

    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.

    Which deployment model are you using for this solution?

    On-premises
    Disclosure: I am a real user, and this review is based on my own experience and opinions.
    PeerSpot user
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    Updated: September 2022
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