Predictive Analytics World Fall 2009

Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to achieve:

- Bigger wins: Strengthen the impact of predictive analytics deployment

- Broader capabilities: Establish new opportunities with predictive analytics

Predictive Analytics World Fall 2009 happened in October 2009 at Washington, DC. The conference program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including Usama Fayyad, Eric Siegel, James Taylor, John F. Elder, Stephen Baker and Dean Abbott.

According the PAW's website: "Predictive Analytics World is the only conference of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, education, government, healthcare, high technology, insurance, non-profits, publishing, retail and telecommunications.

And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, behavior-based advertising, insurance pricing, sales forecasting, text mining and credit scoring.

Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers optimizes business performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles."

Here are some links with posts about the conference:

- JT on EDM - James Taylor - He did an excellent coverage with several posts, and also published his slides presentation: Putting predictive analytics to work
. Putting predictive analytics to work with decision management
. Premier Bankcard and building a good customer score
. Know your customers by knowing who they know
. Cost reduction in bill insert campaigns with predictive analytics
. The high ROI of data mining for innovative organizations

- Predictive Analytics 101: An Interview with Eric Siegel, PhD - Alex L. Cohen

- Predictive Analytics World, part 1 - Dean Abbott

- Testing rocks: Good Customer Score at PREMIER Bankcard - Tammi Kay George

- Predictive Analytics World - Alex Lundry