By Charlie Berger-Oracle on Dec 31, 2013
Oracle Business Intelligence, Warehousing & Analytics Summit - Redwood City
Oracle is a proud sponsor of the Business Intelligence, Warehousing & Analytics (BIWA) Summit happening January 14 – 16 at the Oracle Conference Center in Redwood City. The Oracle BIWA Summit brings together Oracle ACE experts, customers who are currently using or planning to use Oracle BI, Warehousing and Analytics products and technologies, partners and Oracle Product Managers, Support Personnel and Development Managers. Join us on Tuesday, January 14 at 5 p.m. to hear featured speaker Balaji Yelamanchili, Senior Vice President Analytics and Performance Management Products, for his keynote: Oracle Business Intelligence -- Innovate Faster. Visit the BIWA site http://www.biwasummit.com/ for more information today.
Among the approximately 50 technical presentations, featured talks a Hands on Labs, I'll be delivering a presentation on Oracle Advanced Analytics and a Hands on Lab on using the OAA/Oracle Data Miner GUI.
AA-1010 BEST PRACTICES FOR IN-DATABASE ANALYTICS
Session ID: AA-1010
Presenter: Charlie Berger, Oracle
In the era of Big Data, enterprises are acquiring increasing volumes and varieties of data from a rapidly growing range of internet, mobile, sensor and other real-time and near real-time sources. The driving force behind this trend toward Big Data analysis is the ability to use this data for “actionable intelligence” -- to predict patterns and behaviors and to deliver essential information when and where it is needed. Oracle Database uniquely offers a powerful platform to perform this predictive analytics and location analysis with in-database data mining, statistical processing and SQL Analytics. Oracle Advanced Analytics embeds powerful data mining algorithms and adds enterprise scale open source R to solve problems such as predicting customer behavior, anticipating churn, detecting fraud, market basket analysis and discovering customer segments. Oracle Data Miner GUI , a new SQL Developer 4.0 Extension, enables business analysts to quickly analyze data and visualize data, build, evaluate and apply predictive models and deploy via SQL scripts sophisticated predictive analytics methodologies—all while keeping the data inside the Oracle Database. Come learn best practices and customer examples for exploiting Oracle’s scalable, performant and secure in-database analytics capabilities to extract more value and actionable intelligence from your data.
HOL-AA-1008 LEARN TO USE ORACLE ADVANCED ANALYTICS FOR PREDICTIVE ANALYTICS SOLUTIONS
Session ID: HOL-AA-1008
Presenter: Charles Berger, Oracle & Karl Rexer, Rexer Analytics
Big Data; Bigger Insights! Oracle Data Mining Release 12c, a component of the Oracle Advanced Analytics database Option, embeds powerful data mining algorithms in the SQL kernel of the Oracle Database for problems such as predicting customer behavior, anticipating churn, identifying up-sell and cross-sell, detecting anomalies and potential fraud, market basket analysis, customer profiling, text mining and retail market basket analysis. Oracle Data Miner GUI , a new SQL Developer 4.0 Extension, enables business analysts to quickly analyze data and visualize data, build, evaluate and apply predictive models and develop sophisticated predictive analytics methodologies—all while keeping the data inside Oracle Database. Come see how easily you can discover big insights from your Oracle data and generate SQL scripts for deployment and automation and deploying results into Oracle Business Intelligence (OBIEE) dashboards.