The Foundation of Sports Analytics

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Wednesday January 19, 2011 - Thursday January 20, 2011
      3:00 pm - 4:59 pm
  • Location: Room 222, College of Management
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    None
  • Extras:
Contact

Rahul Basole
The Tennenbaum Institute 

John Stasko
School of Interactive Computing 

Summaries

Summary Sentence: Guest speaker Kevin Goodfellow, founder of Sports Data Hub

Full Summary: Sports analytics continue to become more widely accepted as a tool to help build a competitive advantage. To be successful, there are three important inter-related building blocks that all teams/staff/analysts should understand.

Sports analytics continues to become more widely accepted as a tool to help build a competitive advantage. While gaining traction, sports analytics has continued to advance with increased scope, detail, and sophistication. To keep up with today’s elite sports analytics programs and to remain competitive, sports teams and their staff members need to build a solid foundation for their own analytics program. There are three important inter-related building blocks that all teams / staff / analysts, no matter the size, level, sophistication, or financial resources should understand to be successful:

  • Data Management: The science of acquiring, moving, organizing, cleaning, and connecting fragmented data into a form that enables deeper analysis. 
  • Analysis: Discovering and monitoring metrics, through the use of mathematics/statistics, that describe team performance, behavior, strategy, value, or success. 
  • Visualization: Presentation of data/metrics/results in an interactive visual form for fast exploration, understanding, and action. 

Speaker Bio:
Kevin Goodfellow is the founder of Sports Data Hub, a company focusing on pro sports data solutions. He has 16+ years of analytics experience in a wide range of industries, for companies large and small. For the last 10+ years he has provided Data Warehousing consulting specializing in Data Architecture and Data Integration. He is a graduate of Cal Poly and the University of Colorado, earning B.S. and M.S. degrees in Mechanical Engineering. Early in his career, Kevin was a systems engineer for Boeing in Seattle, working with big data while designing, analyzing, and flight-testing commercial aircraft landing gear systems.

Related Links

Additional Information

In Campus Calendar
No
Groups

General

Invited Audience
No audiences were selected.
Categories
Seminar/Lecture/Colloquium
Keywords
isye, Logistics, sports analytics, tennenbaum institute
Status
  • Created By: Michael Hagearty
  • Workflow Status: Published
  • Created On: Jan 18, 2011 - 7:42am
  • Last Updated: Oct 7, 2016 - 9:53pm