Oracle Advanced Analytics Valuable Features
RD
Richard Dulaney
Customer Interaction Consultant at Dulaney Consulting Associates LLC
One of the valuable features is the ability to pull together multiple sources of information and the tools are easy to use which is the main factor. They're easy to use for non-technical, non-programming people. Whether you're a venture capitalist or a giant marketing firm or whether you're a political action committee, it doesn't matter. You don't have to be a technical expert to make use of the tools once you're set up. You just have to know your sources of information and start pulling things together.
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Feras Ahmad
Director : Oracle GRC at Technology Risk Partners
The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic. We have been getting high performance out of the solution and the tools are easy to use.
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Easy to use, simple. Quick learning curve.
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Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about Oracle, SAS, IBM and others in Data Mining. Updated: March 2024.
767,847 professionals have used our research since 2012.
• 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.
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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. Viewing the data on the Dashboard with charts is a great option this tool provides. Data Mining models can be included in SQL queries and embedded in applications to offer improved business intelligence.
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Buyer's Guide
Data Mining
March 2024
Find out what your peers are saying about Oracle, SAS, IBM and others in Data Mining. Updated: March 2024.
767,847 professionals have used our research since 2012.