The essence of Predictive Analytics for Managers – Training – Oct 1st 2015 – @Data Innovation Hub

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The essence of Predictive Analytics for Managers

Defining and managing projects in predictive analytics

Target audience

Managers of analytical teams, Managers of functional departments (marketing, risk, operations, HR,…), Project managers, CXO.

Details

  • Duration: One afternoon workshop (4h):
    • October 1st, 2015
  • Location: European Data Innovation Hub @ AXA, Vorstlaan 23, 1170 Brussel
  • Price: 570€ per manager
  • Limited from 8 – 12 participants

Registration:

Please register using Eventbrite following this link.

Motivation

 Fueled by the energy around Big Data projects, an increasing number of managers are attracted to the domain of analytics. When successfully applied, analytics provides the key to turn data into big value. But how do we ensure organisations reap the maximum return on their investments? How to increase the impact advanced analytical teams have on their organisations? This training provides a backbone for managing projects in Predictive Analytics that maximally impact the organisation. Additionally, this training establishes the foundation for fruitful collaboration between analysts, their peers and decision makers.

Overview

 Applying predictive analytics has the potential to bring a huge impact to an organisation. Typical goals of such high-impact projects involve:

  • (i) increase targeted marketing success by predicting response
  • (ii) increase marketing relevance by offer personalisation,
  • (iii) decrease risk exposure by predicting credit or fraud risk,
  • (iv) increase process efficiency,
  • (v) retain crucial staff members, etc.

In this training, we focus on the key elements needed for managers to obtain success through predictive analytics.
The workshop is designed as an interactive learning experience packed with best practices illustrated with real domain experience.

Learning objectives

 After the training, participants will be able to define and manage developments in Predictive Analytics. In practice participants will be able to:

  • define a project in predictive analytics in detail & understand:
    • a simple process useful for managing the development of predictive models
    • the intuition of each step in the development process
    • the underlying principles for predictive analytics
    • the requirements and limitations of predictive analytics
    • how to manage and increase usage of predictive analytics

Topics
  1. what is predictive analytics
  2. basic underlying principles for predictive analytics
  3. requirements for predictive analytics
  4. limitations of predictive analytics
  5. a reliable process for managing and building predictive models

Prerequisites

 Before the start of the first session, participants should attempt to define a practical and relevant project within their organisation. At completion of the workshop, it is the aim that managers will be able to further define and understand the steps needed to manage this challenge to success.

About the trainer

Geert Verstraeten

 Geert Verstraeten (PhD) is a dynamic trainer with a solid background both in predictive analytics and in professional training. Geert has 14 years of experience in building predictive models for organisations in a wide array of industries. Additionally, he has 14 years of academic and industry experience
in training and coaching managers and analysts to succeed with Predictve Analytics. Since 2006, he is managing partner at Python Predictions (www.pythonpredictions.com), a Brussels-based niche player in Predictive Analytics, and was involved in building analytical communities both in Belgium (www.BAQMaR.eu) and abroad (www.pawcon.com/london/). Geert is a frequent speaker at academic and business conferences in analytics. Since 2014, Geert is a certified professional trainer (http://www.hrdacademy.be/).

Certification

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 Attendees receive an electronic version of the handouts and a proof of participation at the conclusion of the workshop.

More information


Here is the link to a nice write up about this executive class.

Video

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