Oracle Advanced Analytics Archived Reviews (More than two years old)

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Vendor
CEO with 1,001-5,000 employees
Jul 02 2013

What do you think of Oracle Advanced Analytics?

Oracle Advanced Analytics is a new Oracle database option (announced today) that bundles Oracle R Enterprise and Oracle Data Mining (reviewed previously). With this release, R becomes a first class native interface for the Oracle database along with SQL and the graphic interface that ships with Oracle Data Mining.  This allows analytic modeling code to be written in 100% R with the tables and views in the Oracle database appearing as R objects directly. There is no need for modelers to write SQL – they can just write R code and manipulate the data in the database. This makes it easier for R programmers to access the database (no extracting the data to a file, no writing SQL) and the availability of data extends to Oracle OLAP Cubes that can also be accessed from the R code. Performance…
Vendor
Consultant with 51-200 employees
Jun 26 2013

What do you think of Oracle Advanced Analytics?

I’m part of a small group of mathematics enthusiasts in Kansas City who meet about once a month on Saturday mornings to drink coffee and discuss mathematics. This past weekend it was my turn to do a presentation to the rest of the group and I chose to speak on the mathematical foundations of the Support Vector Machine algorithm in Oracle Data Mining. While I wasn’t surprised that some in the group had a better handle on Vapnik-Chervonenkis theory than I and gently “guided” me a few times, I was somewhat surprised at their positive reaction to my characterization of the “Oracle” approach to data mining in contrast with the “SAS” approach. While gross simplifications are always “gross”, here is my take on what I believe to be very different philosophies. Let’s use classification as an…
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Consultant
IT Administrator at a tech services company with 501-1,000 employees
Jan 23 2013

What is most valuable?

• Oracle Data Mining provides a powerful functionality as it enables users to discover new insights hidden in data. • It enables building of predictive models. • Its model can be included in SQL queries and entrenched in applications to offer improved business intelligence. • It has more than ten data mining algorithms that can be used in data mining.

What needs improvement?

• Problems in handling huge data sets • Cannot be used to process statistical data • Performance benchmarks are difficult in data mining

What other advice do I have?

I use the models of this product to derive predictions and descriptions of behavior from the database system. It eases work of moving data from relational tables into the analytical workbenches. It simplifies model implementation by submitting Oracle SQL functions to score data stored within the database.
Vendor
-- at a university
Dec 11 2012

What do you think of Oracle Advanced Analytics?

Valuable Features:

Easy to use, simple. Quick learning curve.

Room for Improvement:

Basic capabilities, less professional than would be expected from a company dealing with databases as a core business.
Vendor
Database Expert at a healthcare company with 501-1,000 employees
Jul 18 2012

What is most valuable?

Oracle Data Mining (ODM) provides data mining functionality as a part of Oracle Advanced Analytics Option. I have used this tool to model database login activity which was used to establish database activity trends and help in fraud detection and prevention. Once the data was loaded, used Oracle supplied analytical functions like Regression and “attribute Importance” to create a predictive model… more »

What needs improvement?

Since a separate Oracle database is needed, the data loading and cleansing the raw data can be a time consuming process.Licensing can be tricky with all the options in the Oracle OLAP suite.It is better to get the whole OLAP suite and use the features one needs rather than buying piece meal.

What other advice do I have?

One should try to automate the whole data loading and cleansing process using scripts to get a quick turnaround. Using shell and sql scripts one can automate this process. This product was chosen to establish database login patterns as a custom solution for a DAM (Data Access Monitoring) tool.

What is Oracle Advanced Analytics?

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. 

Also known as
OAA
Oracle Advanced Analytics customers

Orbitz, Marriott, SGS Life Science, Masdar, AlliantEnergy Corporation, British Standards Institute, Skybox Security, Triple PointTechnology, and Coca Cola.

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