The Las Vegas 2012 Conference is Now Over

Thanks for making our event such a success. Be sure to check out TDWI's other educational offerings at tdwi.org/education.

Business Analytics

F3 Predictive Analytics: Low-Risk Strategies for High-Impact Projects

February 17th, 2012

8:00 am - 3:30 pm

Level: CBIP

Prerequisite: None.

This course offers a strategic orientation to predictive analytics solutions, case demonstrations, project assessment and preparation, industry standard process, resources, and business issues. Those in attendance will learn about various methods of predictive analytics, competitive advantages, and common pitfalls that often cause predictive analytics projects to fall short of their potential.

This course is a vendor-neutral presentation of predictive analytics topics and its role in enterprise decision support. Leading products will be used to illustrate the development process. Results will be drawn from actual predictive analytics applications and interpreted in the context of business impact. Attendees will depart with a binder full of slides, supporting notes, and a valuable index of predictive analytics resources.

You Will Learn

  • Basic principles and terminology for predictive analytics
  • Who is utilizing predictive analytics, and why
  • Common project pitfalls and how to avoid them
  • Project performance and maintenance issues
  • How to define business objectives for a decision support system
  • How to get started
  • How to plan and manage your predictive analytics projects effectively from the start

Geared To

  • IT/IS executives and managers: CIOs, CKOs, CTOs, functional officers, technical directors, and project managers; line-of-business executives and functional managers: risk managers, customer relationship managers, business forecasters, inventory flow analysts, financial forecasters, direct marketing analysts, medical diagnostic analysts, e-commerce company executives; technology planners who survey emerging technologies to prioritize corporate investment; consultants whose competitive environment is intensifying and whose success requires competency with data mining and related emerging information technologies

Register Now

Online Registration
ends February 10