55 Fourth St, Level 2
San Francisco, California 94103

Predictive Analytics for Business, Marketing and Web 2011

April 14-15, 2011 (NYC), and Oct 27-28, 2011 (San Francisco)

A two-day intensive seminar brought to you by Prediction Impact, Inc. For more information go to http://www.businessprediction.com.

98% of attendees Oct-2008 to May-2010 rated the instructor Excellent or Very Good.

"At Intuit we're already using data as an asset on the web, but this
course makes it very concrete how we can take it to the next level."

Jared Waxman, Web Analytics Leader

Or take the e-course ONLINE - immediate access, on demand - see http://www.predictionimpact.com/predictive-analytics-online-training.html

Bring this course on-site. Give your personnel a complete understanding of predictive analytics, on your premises and at your convenience - see http://www.predictionimpact.com/analytics-training.html

** An official training program of Predictive Analytics World (pawcon.com) **


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.

The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to, according to that visitor's profile. This is AB selection, rather than just AB testing.

Predictive Analytics for Business, Marketing and Web (http://www.businessprediction.com) is a concentrated training program that includes interactive breakout sessions and a brief hands-on exercise. 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
• Five ways to lower costs with Predictive Analytics

No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent.

“An excellent overview on how to start using predictive analytics in any organization! In just two weeks I already have buy-in from upper management…”

Jennifer Boland, Onsite Marketing Analyst
Sierra Trading Post

"A very insightful and interesting seminar. I plan to put data mining and predictive analytics to work for us right away thanks to your ability to make this an approachable subject."

Rob Ford, Director Pricing
Getty Images

For more information, visit http://www.predictionimpact.com/predictive-analytics-training.html, or e-mail us at [email protected]. You may also call (415) 683-1146.

Cross-Registration Special: Attendees earn $250 off the Predictive Analytics World Conference

SNEAK PREVIEW VIDEO: http://www.predictionimpact.com/predictive-analytics-times.html

Early-Bird Special: $100 off early registration, 3 weeks ahead.

April 14-15, 2011 (New York, NY) NYC Seminar & Conference Center, 71 West 23rd Street. (Early bird deadline: March 24, 2011)

Oct 27-28, 2011 (San Francisco, CA) AMA Conference Center, in the San Francisco Marriott Hotel, 55 Fourth St. (Early bird deadline: Oct. 6, 2011)

Prediction Impact, Inc.

Added by EliseJ on January 18, 2011

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