Webinar: Sept 23, 2009, 1:00pm ET (10am PT)

Driving Decisions with Predictive Analytics:
The Top Business Applications


Presented by:
Eric Siegel, Ph.D.
Conference Chair, Predictive Analytics World

The value proposition is straight-forward and proven: Predictive analytics produces business insight that delivers. 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.

Harnessing value with predictive analytics depends on some careful choices: What kind of customer behavior you predict and which operational decisions you automate with it. In making these choices, you position precisely how this technology is applied.

Dr. Siegel will be joined by Anne Milley from SAS in a discussion of the top business applications of predictive analytics. Audience members will learn:

• How predictive analytics automatically derives models for decision automation by learning from experience
  
• The top business applications of analytical prediction
  

Click here to watch the archived webinar

PAW's October 20-21 Washington DC program includes 25 sessions divulging how more than 20 brand name companies across a dozen industry verticals apply predictive analytics to over 10 business uses by employing the hottest advanced analytical methods. See the entire conference agenda at a glance, or check out an agenda overview.

• PAW's hands-on workshop, lead by Dean Abbott, has chosen its tool: SAS Enterprise Miner. So attend Hands-On Predictive Analytics for direct experience applying the industry best practices process, and ramp up on this industry-leading tool to boot.


• A free copy of Dr. John Elder's just released Handbook of Statistical Analysis and Data Mining Applications book is yours if you attend John's Predictive Modeling Methods and Common Data Mining Mistakes workshop.


• A free copy of James Taylor's book Smart Enough Systems: How to Deliver Competitive Advantage by Automating Hidden Decisions is yours if you attend James's Putting Predictive Analytics to Work workshop.

See the video introduction to PAW

Program: Predictive Analytics for Business, Marketing and Web
Dates: Two-day intensive sessions in Nov 11-12, 2009
Locations: San Francisco

98% of attendees since Oct. 2008 rated this program Excellent or Very Good. (details)

**The official training program of Predictive Analytics World**

Bring this course on-site. Give your personnel a complete understanding of predictive analytics, on your premises and at your convenience.

About This Seminar
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 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
  
  
• NEW TOPIC: Five Ways to Lower Costs with Predictive Analytics
  

www.predictionimpact.com/predictive-analytics-training.html

Available on-demand, at your convenience - self-paced e-learning

Predictive analytics is business intelligence technology that produces a predictive score for each customer or prospect. Each customer's predictive score informs actions to be taken with that customer� - business intelligence just doesn't get more actionable than that.

Predictive Analytics Applied is a self-paced online course of four concentrated sessions of 60 to 90 minutes each covering:

• Applications: Business, marketing and web problems solved with predictive analytics
  
• Core technology: How a predictive model works and how it's created
  
• Evaluation: Measuring how well a predictive model works and how much revenue it generates
  
• Process: Management and project leadership for predictive analytics
  
• Illustrations: Live demos and detailed case studies
  
• Hands-on: Get your hands dirty for 20 minutes with a revealing Excel-based exercise
  

www.predictionimpact.com/predictive-analytics-online-training.html