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eMetrics Marketing Optimization Summit
London, 20-21 May, 2008
Predictive Analytics Training

Calculate your customers’ future response.

Program: An Introduction to Predictive Analytics
Dates: London: Thursday, 22nd May, 2008
Training Schedule: 9:00 am to 4:00 pm
There will be a one-hour lunch break and two 20-minute coffee breaks.
Location: Hotel Russell, 1-8 Russell Square, Bloomsbury

Southwark Room
Instructors: Neil Mason
John McConnell
Pricing: £795 Early Bird (until April 11th); £895 thereafter
Sign up: Click here to register

An Introduction to Predictive Analytics

An Introduction to Predictive Analytics is a one day workshop covering the foundations of this innovation marketing analytics discipline. During the course of the day you will gain a thorough familiarisation with some of the key principles and methodologies of data mining and predictive analytics and learn how to apply them to common marketing problems such as:

  • How can I predict campaign response?
  • How do I segment my website visitors or customers?
  • How can I anticipate possible customer defections?

In this one day interactive course we will cover the following topics:

Introduction:

  • What is data mining and how is that different to predictive analytics?
  • How organisations are currently using data mining and predictive analytics across their businesses and to solve particular marketing problems

Processes and implementation

  • How to go about a data mining/predictive analytics project
  • An overview of a standard industry process (CRISP-DM)

Methods and applications

  • An overview of the main types of data mining and predictive analytics applications:
    • Forecasting
    • Segmentation
    • Classification
  • An introduction to main methodologies such as:
    • Time-series forecasting
    • Regression analysis
    • Decision trees (CHAID, CART and so on)
    • Cluster analysis
    • Neural networks
  • Case studies and examples of how these techniques are used and deployed in both online and offline marketing is areas such as:
    • Retention modelling
    • Conversion propensity modelling
    • Visitor segmentation

2008 SPONSORS

Diamond

Foresee Results

Platinum

Omniture

Gold

Google Analytics

Silver

iPerceptions

Bronze

Stratigent lyris coremetrics Europe Ltd

Official Day 2 Lunch Sponsor

OX2

Sponsor This Summit