Compare Oracle Advanced Analytics vs. SAS Enterprise Miner

Oracle Advanced Analytics is ranked 9th in Data Mining while SAS Enterprise Miner which is ranked 4th in Data Mining with 1 review. Oracle Advanced Analytics is rated 0, while SAS Enterprise Miner is rated 7.0. On the other hand, 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 IBM SPSS Statistics, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME.
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360,582 professionals have used our research since 2012.
Ranking
9th
out of 16 in Data Mining
Views
3,133
Comparisons
769
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 16 in Data Mining
Views
8,646
Comparisons
3,874
Reviews
1
Average Words per Review
484
Avg. Rating
7.0
Top Comparisons
Compared 11% of the time.
Compared 9% of the time.
Also Known As
OAAEnterprise Miner
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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 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
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
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: July 2019.
360,582 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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