CARY, NC (Jul. 26, 2011) - The Analytics 2011 Conference , October 24-25 in Orlando, represents the best in learning opportunities, career networking and sharing best practices among skilled professionals. Sponsored by business analytics leader SAS, this global event combines the popular M2010 Data Mining Conference and F2010 Business Forecasting Conference into one large analytics event. Attendees can explore the latest trends and techniques in more key areas of analytics this year, including data mining, text analytics, forecasting, optimization, visualization and predictive modeling. There is growing demand for analytics. Visionary keynote presenters and insightful session speakers will share real-world case studies highlighting new advances and proven methodologies - inspiring attendees to harness the power of analytics in creative, new ways.
Analytics conference bigger and better
Expecting the largest turnout yet, co-chairs Dr. Sven F. Crone, Lancaster Research Centre for Forecasting, Lancaster University and Dr. Jerry L. Oglesby, Senior Director of Global Academic Programs and Global Certification at SAS, gathered the brightest minds in academia, government and business to discuss applications as hot as "Social Networks in Data Mining," as entertaining as "Applying Advanced Analytics at Disney Parks," and as informative as "Text Analytics and Tribune Company News Content."
There's more. The fifth annual Data Mining Shootout - presented by SAS, the Central Michigan University Research Corporation, and Ford Motor Company - gives students the opportunity to distinguish themselves by solving a complex predictive modeling issue and presenting their solution. Analytics 2011 poster presentations enable practitioners to describe projects and gain feedback from leaders in the analytics field. At the exhibit hall, the book store, roundtable discussions, and opening reception, attendees can socialize with exhibitors, conference presenters and staff to find new ways to advance their success with analytics.
To fill analytical skill gaps, Analytics 2011 also offers SAS certification exams as well as pre- and post-conference training sessions. Topics include Leading an Analytics Enterprise; Prevent, Detect and Manage Fraud Across the Enterprise; Demand-Driven Forecasting: Sensing Demand Signals, Shaping and Predicting Demand; Introduction to Data Mining and SAS Enterprise Miner; Modeling Trends, Cycles, and Seasonality in Time Series Data; SAS Rapid Predictive Modeler; SAS Sentiment Analysis; Advanced Analytics for Customer Intelligence; Advanced Topics in Applied Econometrics; Applied Analytics Using SAS Enterprise Miner; Customer Segmentation Using SAS Enterprise Miner; Data Mining Techniques: Theory and Practice; Forecasting Using SAS Software: A Programming Approach; Forecasting Using SAS Forecast Server Software; Net Lift Models: Optimizing the Impact of Your Marketing Efforts; Text Analytics with SAS Text Miner; and Development of Credit Scoring Applications Using SAS Enterprise Miner.
For more information, see www.sas.com/news/preleases/analytics2011.html