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Agenda Overview – London, UK – October 23-24, 2013
DAY 1: Wednesday October 23, 2013
8:00am-9:00am Registration and Coffee
9:00am-9:40am
Opening Session:
How to win with Predictive Analytics
Geert Verstraeten, PhD,
Program Chair Predictive Analytics World London
  Thought Leader
9:40am-10:50am
Keynote:
Predictive Analytics Powered By Process Mining:
It’s The Process, Stupid!

Prof Dr Ir Wil van der Aalst, Full professor,
Eindhoven University of Technology
10:50am-11:20am Break / Exhibits
11:20am-12:00pm Case Study: Deutsche Bank
Supporting the branch network using predictive analytics:
Predicting Next Investment behavior

Matthias Meul, Customer intelligence analyst,
Deutsche Bank AG, Brussels Branch
12:00pm-1:00pm Lunch / Exhibits
  Special Featured Session
1:00pm-1:40pm Creating a Predictive Analytics Strategy
Tom Khabaza, Founding Chairman of the Society of Data Miners
1:40pm-2:20pm An Implementation and Adoption Roadmap
for Analytics

Nauman Sheikh, CEO, Asrym Inc
2:20pm-2:40pm Break / Exhibits
2:40pm-3:20pm Case Study: Belgian government
Improving Fraud Detection Techniques using Social Network Analytics for the Belgian government
Veronique Van Vlasselaer, PhD researcher, KULeuven
3:20pm-4:00pm Break / Exhibits
  Interactive workshop
4:00pm-6:00pm PAW Café:
Organizational Development and
Talent Management in Analytics

Moderator: Martine George PhD, Head of Marketing Analytics and Research, BNP Paribas Fortis
6:00pm-7:00pm Networking Reception

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DAY 2: Thursday October 24, 2013
8:00am-9:00am Registration and Coffee
  Thought Leader
9:00am-9:50am
Keynote
General Lessons We Can Learn
from Blackbox Trading

John Elder, PhD, CEO and Founder
Elder Research, Inc.
(Also see Dr. Elder's full-day workshop on Nov. 29)
9:50am-10:20am Sponsored Session
Insurance Fraud Detection, a predictive approach
Alfredo Barbieri, Principal Consultant Predictive Analytics, i4C Analytics
Alan Harton, VP International Development, i4C Analytics
10:20am-10:50am Break / Exhibits
  Special Featured Session
10:50am-11:30am Data Science: For Fun and For Profit
Lukas Vermeer, Data Scientist, Booking.com
11:30am-12:10pm Case Study: BNP PARIBAS FORTIS
Client potential for a better sales force allocation
in a B2B banking environment

Dr Derik Burgert, Data Mining Analyst,
BNP Paribas Fortis
12:10pm-1:10pm Lunch / Exhibits
1:10pm-1:50pm Case Study: SEAI, Electric Ireland, Bord Gáis Energy
Combining Forecasting and Clustering
on Energy Data

Phil Winters, Senior Managing Partner, CIAgenda
1:50pm-2:30pm Influencing consumer acquisition and loyalty
through actionable insights and targeted location-based mobile marketing

Gery Pollet, Founder & Executive Chairman, ZapFi
  Panel Discussion
2:30pm-3:15pm
The Role of Ethics in Analytics

Panel moderator:
Geert Verstraeten, PhD,
Program Chair Predictive Analytics World London

Panelists:
Tom Khabaza, Society of Data Miners
Gery Pollet, ZapFi
John Elder, Elder Research, Inc.

3:15pm-3:45pm Break / Exhibits
3:45pm-4:25pm Case Study: AOL
How Much Are You Worth?
Calculating Customer Lifetime Value

Brett Cohen, Senior Business Intelligence Analyst, AOL
4:25pm-5:05pm Predicting online campaign effectiveness
Amit Phansalkar, Chief Data Scientist for Mass Mutual financial
5:05pm-5:25pm
Closing Remarks
Geert Verstraeten, PhD,
Program Chair Predictive Analytics World London

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Post-Conference Workshop: Friday October 25, 2013
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

John Elder, PhD, CEO and Founder,
Elder Research, Inc.

Register

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