Oracle Advanced Analytics Option
The Fastest Way to Deliver Scalable Enterprise-wide Predictive Analytics The Oracle Advanced Analytics Option turns the database into an enterprise-wide analytical platform that can quickly deliver enterprise-wide predictive analytics and actionable insights. Big Data and Bigger Insights Oracle Advanced Analytics empowers data and business analysts to extract knowledge, discover new insights and make predictions—working directly with large data volumes in the Oracle Database. Oracle Advanced Analytics, an option of Oracle Database Enterprise Edition, offers a combination of powerful in-database algorithms and open source R algorithms, accessible via SQL and R languages, and provides a range of GUI and IDE options targeting business users to data scientists. Making Better Decisions with Deeper Insights and Predictive Analytics - Predict customer behavior and Identify cross/up-sell opportunities
- Identify customers likely to churn
- Analyze “market baskets” to discover associations, patterns and relationships
- Detect anomalies and fight fraud
Comprehensive Analytics on a Simple Architecture High performance in-database data-mining algorithms and statistical functions are accessible from SQL and R. Integration with open-source R adds the ability for users to write R scripts and use R packages while leveraging the strenghts of the database. Oracle Advanced Analytics provides an R to SQL transparency layer that maps R functions and algorithms to native in-database SQL equivalents. When in-database equivalents are not available, Oracle Advanced Analytics can run them under embedded R mode allowing the database to manage the entire data management and analytical process. Easy to Use—for Data Scientists, Business Analysts and IT Graphical User Interfaces The Oracle Data Miner GUI an extension to Oracle SQL Developer, provides data analysts with a workflow environment for data mining and generates SQL scripts for deployment—saving time and money. SQL, PL/SQL and R APIs Algorithms are accessible by SQL and R APIs and GUIs. Building and deploying predictive models within the enterprise is fast and easy.  Key BenefitsPerformance and Scalability. All data management, preparation and transformations, model building and model scoring run as database processes.
Fastest Way to Deliver Enterprise Predictive Analytics Applications. The database becomes the scalable and secure platform for delivering predictions and insights to BI dashboards and Applications. Lowest Total Costs of Ownership. No need for separate analytical servers.
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