Compare Oracle Advanced Analytics vs. SAS Analytics

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Most Helpful Review
Use Oracle Advanced Analytics? Share your opinion.
Find out what your peers are saying about Oracle Advanced Analytics vs. SAS Analytics and other solutions. Updated: July 2021.
523,431 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
"Ability to pull together multiple sources of information.""The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic."

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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
"Could use some refinement getting things that are not standard cloud applications, but more customized.""There are some transactions we have not been able to find through the dashboard."

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

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Questions from the Community
Top Answer: The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic.
Top Answer: I know the company has both enterprise-level pricing and pay-as-you-go type pricing, like any of the cloud-based network solutions. You have to manage your pricing based on the number of users and how… more »
Top Answer: There are some transactions we have not been able to find through the dashboard.
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
7th
out of 16 in Data Mining
Views
794
Comparisons
579
Reviews
2
Average Words per Review
430
Rating
9.5
6th
out of 16 in Data Mining
Views
1,703
Comparisons
1,358
Reviews
3
Average Words per Review
354
Rating
9.0
Popular Comparisons
Also Known As
OAA
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Overview

Oracle Advanced Analytics 12c delivers parallelized in-database implementations of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, Oracle extends the Oracle Database to an sclable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and deliver actionable insights. Oracle Big Data SQL adds new big data sources and Oracle R Advanced Analytics for Hadoop provides algorithms that run on Hadoop. 

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 Oracle Advanced Analytics
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Sample Customers
Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.
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
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider19%
Financial Services Firm12%
Media Company5%
REVIEWERS
Healthcare Company29%
Financial Services Firm29%
Insurance Company14%
Retailer14%
VISITORS READING REVIEWS
Comms Service Provider20%
Computer Software Company18%
Financial Services Firm10%
Educational Organization9%
Company Size
REVIEWERS
Small Business63%
Midsize Enterprise25%
Large Enterprise13%
REVIEWERS
Small Business10%
Midsize Enterprise10%
Large Enterprise80%
Find out what your peers are saying about Oracle Advanced Analytics vs. SAS Analytics and other solutions. Updated: July 2021.
523,431 professionals have used our research since 2012.

Oracle Advanced Analytics is ranked 7th in Data Mining with 2 reviews while SAS Analytics is ranked 6th in Data Mining with 3 reviews. Oracle Advanced Analytics is rated 9.6, while SAS Analytics is rated 9.0. The top reviewer of Oracle Advanced Analytics writes "Great ability to pull together multiple sources of information, simple for non-technical users ". 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". Oracle Advanced Analytics is most compared with IBM SPSS Statistics, OpenText Magellan Text Mining, Weka, IBM SPSS Modeler and KNIME, whereas SAS Analytics is most compared with KNIME, IBM SPSS Modeler, IBM Watson Explorer, SAS Enterprise Miner and Weka. See our Oracle Advanced Analytics vs. SAS Analytics report.

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