Oracle Data Mining (ODM) —a priced option to Oracle Database 11g Enterprise Edition—enables
you to easily build and deploy next-generation applications that deliver predictive analytics and new insights.
Application developers can rapidly build next-generation applications using ODM's SQL and Java APIs that automatically mine
Oracle data and deploy results in real-time-throughout the enterprise. Because the data, models and results remain in the
Oracle Database, data movement is eliminated, security is maximized and information latency is minimized. Oracle Data
Mining models can be included in SQL queries and embedded in applications to offer improved business intelligence.
Oracle Data Mining provides in-Database predictive analytics that support strategies described in the Harvard Business
Review (HBR) article Competing on
Analytics. Data analysts can quickly access their Oracle data using the optional
Oracle Data Miner graphical user
interface and explore their data to find patterns, relationships, and hidden insights. Oracle Data Mining provides a collection
of in-database data mining algorithms that solve a wide range of business problems. Anyone who can access data stored
in an Oracle Database can access Oracle Data Mining results-predictions, recommendations, and discoveries using SQL-based query
and reporting tools including Oracle Business
Intelligence EE Plus.
New: Oracle Spend Classification embeds Oracle Data Mining-enabled functinality
Oracle BI Applications Release 7.9.6.1 introduces a new component, Oracle Spend Classification, that uses "Oracle Data Mining for machine learning and other predictive techniques to automatically categorize spend. Through improved spend classification, sourcing managers gain a clearer picture of spending across the organization and are better able to identify cost savings opportunities as well as increase negotiation leverage with suppliers."
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