Oracle Advanced Analytics vs SAS Enterprise Miner

Oracle Advanced Analytics is ranked 8th in Data Mining vs SAS Enterprise Miner which is ranked 3rd in Data Mining with 1 review. The top reviewer of SAS Enterprise Miner writes "Enables Statistical Modeling Of Data Using Base SAS Although Limited GUI is a drawback". Oracle Advanced Analytics is most compared with SAS Analytics, IBM SPSS Modeler and SAS Enterprise Miner. SAS Enterprise Miner is most compared with IBM SPSS Modeler, KNIME and Oracle Advanced Analytics.
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Quotes From Members Comparing Oracle Advanced Analytics vs SAS Enterprise Miner

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
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270,647 professionals have used our research since 2012.
Ranking
RANKING
Views
2,588
Comparisons
1,720
Reviews
0
Followers
359
Avg. Rating
N/A
Views
5,705
Comparisons
4,219
Reviews
1
Followers
447
Avg. Rating
7.0
Top Comparisons
Top ComparisonsSee more Oracle Advanced Analytics competitors »
Uimhresp 400x400
Compared 16% of the time.
See more SAS Enterprise Miner competitors »
Also Known As
Also Known AsOAAEnterprise Miner
Website/Video
Website/VideoOracle
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SAS
  • Vendor 7934 screenshot 1526145527
OverviewQuestionmark icon
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 Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
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Sample Customers
Sample Customers Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
University
28%
Financial Services Firm
18%
Marketing Services Firm
7%
Healthcare Company
7%
VISITORS READING REVIEWS
Financial Services Firm
29%
University
11%
Non Tech Company
11%
Insurance Company
7%
Company SizeQuestionmark icon
Company Size
VISITORS READING REVIEWS
Small Business
16%
Midsize Enterprise
25%
Large Enterprise
59%
VISITORS READING REVIEWS
Small Business
18%
Midsize Enterprise
25%
Large Enterprise
57%
Data mining report from it central station 2018 05 12 thumbnail
Find out what your peers are saying about IBM, Knime, SAS and others in Data Mining.
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270,647 professionals have used our research since 2012.
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.

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