Prediction Impact

Predictive analytics training: Business metrics do a great job summarizing the past. But if you want to predict how customers will respond in the future, there is one place to turn--predictive analytics. By learning from your abundant historical data, predictive analytics provides the marketer something beyond standard business reports and sales forecasts: actionable predictions for each customer. These predictions encompass all channels, both online and off, foreseeing which customers will buy, click, respond, convert or cancel. If you predict it, you own it. Predictive Analytics for Business, Marketing and Web is a concentrated training program that includes interactive breakout sessions. In two days we cover: * The techniques, tips and pointers you need in order to run a successful predictive analytics and data mining initiative * How to strategically position and tactically deploy predictive analytics and data mining at your company * How to bridge the prevalent gap between technical understanding and practical use * How a predictive model works, how it's created and how much revenue it generates * Several detailed case studies that demonstrate predictive analytics in action and make the concepts concrete No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Excel. For more information, visit http://www.predictionimpact.com/predictive-analytics-training.html, or e-mail us at training predictionimpact.com.

Prediction Impact Seminar Schedule

Expertise in CRM Analytics and Customer Intelligence

Based in San Francisco, California, Prediction Impact, Inc. has a network of independent consultants and partner firms with expertise over a range of disciplines, including predictive analytics, data mining, customer intelligence, text mining, system integration, and web site design and optimization.

Eric Siegel, Ph.D., President
Eric Siegel is an expert in data mining and predictive analytics, and an award-winning teacher of graduate-level courses in those areas. Eric served as a computer science professor at Columbia University, where he forwarded data mining technology in the realms of machine learning performance optimization, text mining, and data visualization. Eric also co-founded two New York City-based software companies for customer/user profiling and data mining. With data mining, Eric has solved problems in computer security, fraud detection, computational linguistics and information retrieval. He now provides analytics services for marketing and strategy to medium through Fortune 100 companies.

PAW conference Predictive Analytics Training

Head Office 1318-A Natoma St. San Francisco CA 94103 USA

Training and Seminar Locations Marriott Downtown Eaton Centre, , The Fairmont, , NYC Seminar & Conference Center, , To be announced, Stockholm, Sweden, , Hilton Alexandria Mark Center, , AMA Conference Center at San Francisco Marriott, ,