Scalable in-database predictive analytics
Oracle Data Mining (ODM), a component of the Oracle Advanced Analytics Database Option, provides powerful data mining algorithms that enable data analytsts to discover insights, make predictions and leverage their Oracle data and investment. With ODM, you can build and apply predictive models inside the Oracle Database to help you predict customer behavior, target your best customers, develop customer profiles, identify cross-selling opportunties and detect anomalies and potential fraud.
Algorithms are implemented as SQL functions and leverage the strengths of the Oracle Database. The SQL data mining functions can mine data tables and views, star schema data including transactional data, aggregations, unstructured data i.e. CLOB data type (using Oracle Text to extract tokens) and spatial data. Oracle Advanced Analytics SQL data mining functions take full advantage of database parallelism for model build and model apply and honor all data and user privileges and security schemes. Predictive models can be included in SQL queries, BI dashboards and embedded in real-time applications.
Oracle Data Miner GUI, an extension to Oracle SQL Developer, enables data analysts, business analysts and data scientists to work directly with data inside the database using the graphical “drag and drop” workflow and component pallet. Oracle Data Miner work flows capture and document the user's analytical methodology and can be saved and shared with others to automate analytical methodologies. Oracle Data Miner can generate SQL and PL/SQL scripts for model automation, scheduling and deployment throughout the enterprise.
Oracle Data Miner creates predictive models that application developers can integrate into applications to automate the discovery and distribution of new business intelligence-predictions, patterns and discoveries—throughout the enterprise.