Using Game Theory in Analytics

Presenter: Gregory Duke, Niagara University, Rachel Link, Buffalo State College
Year: 2012
Price: Members: $49; Nonmembers: $79
Body of Knowledge Alignment:
Domain: Data Analytics
Competencies and Levels: 

  • Competency 1: Cross Industry Standard Process for Data Mining (CRISP-DM) Competencies, Level I
  • Competency 2: Project Management, Level I
  • Competency 3: Data Manipulation Skills, Level I
  • Competency 4: Statistical Techniques and Competencies, Level I
  • Competency 6: Communication, Level I & Level II
  • Competency 7: Fund Raising Knowledge, Level I & Level II
  • Competency 9: Change Management/Strategic Thinking, Level I & Level II

The house always wins but how do they do it? Casinos, sports teams and business analysts among many others win when they successfully apply a combination of principles of probability and human psychology to their work. In this session, presenters will demonstrate how they have successfully used these techniques, collectively known as game theory, to improve their work as researchers and enhance their interactions with gift officers and other development staff. This session will teach you to play the game and win.

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