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Agenda Overview – London, UK – Nov 30 - Dec 1, 2011
DAY 1: Wednesday 30 November, 2011
8:30am-9:30am Registration & Coffee
9:30am-10:15am
Keynote
Persuasion by the Numbers: Optimise Marketing
Influence by Predicting It

Eric Siegel, Ph.D., Programme Chair, Predictive Analytics World
10:15am-10:45am Refreshment Break
  Customer Retention with Churn Modelling
10:45am-11:05am Case Study: Paychex Inc.
Combat Client Churn with Predictive Analytics
Frank Fiorille, Director, Paychex Inc.
  Human Resource Retention
11:10am-11:30am Case Study: Hewlett Packard
Attrition Driver Analysis
Anindya Dey, Analytics Consultant, Hewlett Packard & Gitali Halder, Manager - Analytics, Hewlett Packard
11:30pm-11:40pm Platinum Sponsor Presentation: Deloitte
Deloitte
Healthcare Analytics: Predicting Problems Ahead
Chris Stirling, Deloitte
  Special Featured Session
11:45am-12:30pm Case Study: ING Belgium
Successes and Lessons in a Five-Year
Growth Path in Predictive Analytics

Geert Verstraeten, Partner, Python Predictions & Pieter Dyserinck, Head of Business Analysts, ING
12:30pm-1:25pm Lunch
12:30pm-5:30pm Exhibit Hall Open
  Track 1 Track 2
  Customer Retention with Churn Modelling Financial Services
1:25pm-1:45pm Case Study: IPC Media
Proving the value of Prediction in Magazine Subscriptions
Claire Aspinall, Renewals Manager, IPC Media
John McConnell, Director, Analytical People
Case Study: The Royal Bank of Scotland
The Royal Bank of Scotland Banking Value From The Long Tail
Gaurav Gaur, Director, Product Management, Royal Bank of Scotland
  Track 1 Track 2
  Nonprofit Fundraising Operational Analytics
1:50pm-2:10pm Case Study: JustGiving
Analytics at JustGiving - Using Data to Unlock and Increase Individual Generosity
Mike Bugembe, Head of Analytics, JustGiving
Presentation from: HM Revenue & Customs
From Analysis to Action: Enabling strategic change through operational analytics
Dr Christopher Hemingway, Head of Analytics, Debt Management & Banking, HM Revenue & Customs &
Tom Khabaza, Chairman, Institute of Data Miners
2:10pm-2:30pm Session Break
  Track 1 Track 2
  Demand Forecasting Customer Insights
2:30pm-2:50pm Case Study: OTTO
Inventory Improvement with Predictive Analytics at the World's 2nd Largest Online Retailer OTTO
Michael Sinn, VP Buying Division, OTTO
Case Study: The Economist & Netto Bank
New Directions in Customer Intelligence
Rosaria Silipo, Data Mining Consultant & Phil Winters, Managing Senior Partner, CIAgenda
  Track 1 Track 2
  Demand Forecasting Social Data; Financial Services
2:55pm-3:15pm Case Study: ENERGEX
Spatially Simulating Electricity Demand Growth
Jared McKee, Customer Integration Specialist, Energex
Case Study: Prosper.com
How Do Peers Evaluate Peer-to-Peer Lending?
Aaron Lai, Senior Manager of Marketing Analytics, Blue Shield of California
3:15pm-3:50pm Refreshment Break
  Pharmaceutical
3:50pm-4:10pm Case Study: GlaxoSmithKline
Predictive Analytic Patient Recruitment and Drug Supply Modelling in Clinical Trials
Vladimir Anisimov, Senior Director, GlaxoSmithKline
4:10pm-4:45pm Refreshment Break
  Social Data; Text Analytics
4:45pm-5:30pm Case Study: BBC
Data Mining for Social Moderation
Mark Tabladillo, Mentor, SolidQ & Francisco Gonzalez, Mentor, SolidQ
5:30pm-8:00pm Reception followed by
Data Driven Business Week Awards Ceremony

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DAY 2: Thursday 1 December, 2011
8:30am-9:30am Registration & Coffee
9:00am-5:30pm Exhibit Hall Open
9:30am-10:35am
Keynote
Multiple Case Studies: U.S. DHS, SSA.
Text Mining: Lessons Learned
John Elder, Ph.D., Elder Research, Inc.
10:35am-11:10am Refreshment Break
  Risk Modelling
11:10am-12:00pm Expert Panel:
Wise Enterprise: Best Practices for Managing Predictive Analytics
Uwe Weiß, CEO, Blue Yonder
Colin Linsky, Principal Analytical Consultant, IBM
Tom Khabaza, Chairman, Institute of Data Miners
12:00pm-1:30pm Lunch
  Special Featured Session: Uplift Modelling
1:30pm-2:15pm Uplift Modelling: You Should Not Only Measure
But Model Incremental Response

Neil Skilling, Director Product & Solutions, Pitney Bowes Business Insight
  Crowdsourcing Predictive Analytics
2:15pm-2:35pm Predicting Retail Customer Behaviour
Giles Pavey, Head of Retail Solutions, dunnhumby
Mehul Patel, Chief Operating Officer, Kaggle
2:35pm-3:00pm Break
  Project Management for Analytics
3:00pm-3:20pm A Proposed Methodology for Integration of
Predictive Analytics in Organisations

Uros Bole, Principal, Pikarp d.o.o. & Jure Zabkar, PhD, Al Lab, University of Ljubljana
  Discovery of Technology Trends
3:25pm-3:45pm The Science of Science: Technical Opportunity
Discovery Model-driven Analytics System

Hanmin Jung, Chief Researcher
Korea Institute of Science and Technology Information &
Seungwoo Lee, Senior Researcher
Korea Institute of Science and Technology Information
3:45pm-4:15pm Refreshment Break
  Customer Retention; B2B
4:15pm-4:35pm Case Study: Hewlett-Packard
Churn/Threat Prediction Analysis in B2B by Value Movement Analysis
Subhamitra Chatterjee, Marketing Analyst, Hewlett-Packard & Dwipashray Niyogi, Analytics Consultant, Hewlett-Packard
  Supply Chain Management
4:40pm-5:00pm Case Study: United Group Holdings
Value Proposition Segmentation (VPS) Method
Amjad Zaim, CEO, Cognitro Analytics

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Post-Conference Workshop: Friday 2 December, 2011
Hilton London Islington: Angel & Morris Suite
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modelling Methods and Common Data Mining Mistakes

John Elder, Ph.D., CEO and Founder, Elder Research, Inc.

Register

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