Archive for July, 2010

July 30th 2010

PAW London – Save-the-Date for Nov 15-16, and Call-for-Speakers

Announcing two new PAW events – mark your calendars! While the next upcoming Predictive Analytics World is October 19-20, 2010, in Washington DC, we're now accepting proposals to speak at the two PAW events scheduled thereafter. Accepting speaker proposals for: PAW – November 15-16, 2010 in London, UK

Park Plaza Victoria London Speaker proposals deadline: August 13, 2010 (Due soon!)

PAW – March 14-15, 2011 in San Francisco, CA

San Francisco Marriott Marquis Speaker proposals deadline: October 8, 2010

It's an exciting time for PAW and predictive analytics in general, as reflected by a steadfast increase in interest in both attending and speaking at the conference. Join PAW to share how predictive analytics delivers a business impact for your organization. Here is the opportunity to present your work deploying predictive analytics, predictive modeling, product recommendations, response modeling, churn modeling, behavior-based content/ad selection, customer segmentation, fraud detection or other incarnations of predictive analytics. The PAW call-for-speakers has been updated – if you are considering submitting, please give it a complete read-through. If you are a software vendor, be sure to note the restriction on vendor sessions. If you wish to receive periodic call-for-speakers notifications regarding Predictive Analytics World, email chair@predictiveanalyticsworld.com with the subject line "call-for-speakers notifications".

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July 21st 2010

Expert Panel at PAW Oct 19-20 in DC: “Predictive Analytics Hits the Mainstream”

Here's the expert panel coming to Predictive Analytics World, October 19-20, 2010 in Washington DC. It promises to be revealing and central. Expert Panel: "Kaboom! Predictive Analytics Hits the Mainstream" (October 20, 2010 – Day 2 of the conference) Predictive analytics has taken off, across industry sectors and across applications in marketing, fraud detection, credit scoring and beyond. Where exactly are we in the process of crossing the chasm toward pervasive deployment, and how can we ensure progress keeps up the pace and stays on target? This expert panel will address:

  • How much of predictive analytics' potential has been fully realized?
  • Where are the outstanding opportunities with greatest potential?
  • What are the greatest challenges faced by the industry in achieving wide scale adoption?
  • How are these challenges best overcome?

Panelist: David Duling, Research and Development Director, SAS Panelist: Usama Fayyad, Ph.D., CEO, Open Insights

Panelist: Jason Verlen, Director, SPSS Product Strategy & Management, IBM Software Group

Panel moderator: Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

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July 1st 2010

Predictive Analytics World Agenda Overview – Oct 19-20 in DC

Conference: Predictive Analytics World Agenda Overview

Predictive Analytics World's conference program for October 19-20 2010, Washington, DC is another deep exploration of leading-edge methods and hot topics. Highlights include:

Business Value

Jean Paul Isson, Monster Worldwide – Creating Global Competitive Power with Predictive Analytics

Susan Chiu, Ingram Micro – How Ingram Micro Utilizes Predictive Analytics to Enhance Its Marketing Bottom Line and Profitability

  • Case Study: Monster.com
  • Case Study: Ingram Micro

Response & Cross-Sell

Jason Fox, Paychex – Staying One Step Ahead of the Competition – Development of a Predictive 401(k) Marketing and Sales Campaign

  • Case Study: Paychex

Social Data (including Fraud Detection)

James Kobielus, Forrester Research – Social Network Analysis: Killer Application for Cloud Analytics

  • Thought Leadership

Auren Hoffman, Rapleaf – Leveraging Social Media Data to Manage Fraud Risk

  • Case Study: 1-800 Flowers

Text Mining (including Fraud Detection)

David McMichael, MetLife Auto & Home – Fighting Fraud with Text Mining at MetLife Auto & Home

  • Case Study: MetLife

Bo Begole, Palo Alto Research Center, Inc. (a Xerox Company) & Lawrence Lee, Palo Alto Research Center, Inc. (a Xerox Company) – Exploiting Unstructured Data Sources for Predictive Applications

  • Case Study: Xerox PARC

Survey Analysis

Roxana Strohmenger, Forrester Research – Making Survey Insights Addressable and Scalable – The Case Study of Forrester’s Technographics® Benchmark Survey

  • Case Study: Forrester

Customer Value

Dudley Gwaltney, SunTrust Bank – When One Model Will Not Solve the Problem – Using Multiple Models to Create One Solution

  • Case Study: SunTrust

Segmentation

Daymond Ling, Canadian Imperial Bank of Commerce – Segmentation Do's and Don'ts

  • Practitioner: Canadian Imperial Bank of Commerce

Healthcare

Ozgur Dogan, Merkle Inc. & Trish Mathe, Life Line Screening – Taking CRM Global Through Predictive Analytics

  • Case Study: Life Line Screening

Scott Zasadil, UPMC Health Plan – A Predictive Model for Hospital Readmissions

  • Case Study: UPMC Health Plan

Sales Force Optimization

Nancy Hersh, Corporate Executive Board – Enhancing Sales Force Effectiveness with Predictive Analytics

  • Case Study: Corporate Executive Board

Privacy

Ari Schwartz, Vice President and Chief Operating Officer, Center for Democracy and Technology (CDT) – Myths About Privacy: How Analytics and Privacy Can Live At Peace

  • Thought Leadership

Catalog Retailer

Ryan Hennig, Miles Kimball – Miles Kimball Optimizes Marketing Decisions

  • Case Study: Miles Kimball

PAW Attendee Statement:

"I came to PAW because it provides case studies relevant to my industry. It has lived up to the expectation and I think it's the best analytics conference I've ever attended!"

Shaohua Zhang Senior Data Mining Analyst Rogers Telecommunications

Be sure to register by Sept. 10th for the Super Early Bird rate (a $200 saving):

Register Now

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