Oracle Advanced Analytics vs. SAS Enterprise Miner

Oracle Advanced Analytics is ranked 9th 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 Microsoft Azure Machine Learning Studio.
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Quotes From Members Comparing Oracle Advanced Analytics vs. SAS Enterprise Miner

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295,322 professionals have used our research since 2012.
Ranking
RANKING
Views
2,768
Comparisons
1,318
Reviews
0
Followers
181
Avg. Rating
N/A
Views
6,728
Comparisons
4,118
Reviews
1
Followers
266
Avg. Rating
7.0
Top Comparisons
Top ComparisonsSee more Oracle Advanced Analytics competitors »
Compared 15% of the time.
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Also Known As
Also Known AsOAAEnterprise Miner
Website/Video
Website/VideoOracle
SAS
Overview
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 Industries
Top Industries
VISITORS READING REVIEWS
University
28%
Financial Services Firm
18%
Marketing Services Firm
7%
Healthcare Company
7%
VISITORS READING REVIEWS
Financial Services Firm
30%
University
11%
Non Tech Company
11%
Insurance Company
7%
Company Size
Company Size
VISITORS READING REVIEWS
Small Business
16%
Midsize Enterprise
25%
Large Enterprise
59%
VISITORS READING REVIEWS
Small Business
19%
Midsize Enterprise
25%
Large Enterprise
56%
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