Data Analysis in the Florida Panthers Organization

Description

We give an overview of how data visualization and data analysis are used within the Florida Panthers organization and around the National Hockey League in a variety of different contexts. We discuss how analytics can be used to assist an NHL team’s front office, coaching staff, and scouting department. We also discuss the kinds of data we encounter on the business side of the organization in departments like sales and marketing. One example that we will discuss at length is a data-driven approach to predicting the popularity of a game, using only information that is known before tickets go on sale, when we have no sales data for individual games. Join us for a reception to welcome Dr. MacDonald at 6:00 PM outside of Knight Auditorium in the DeSantis Building. Refreshments will be served.

Presenter Bio

Brian Macdonald is entering his third season as the Panthers' Director of Hockey Analytics. He previously spent six years as an assistant/associate professor in the Department of Mathematical Sciences at West Point. While at West Point, his research interests included using mathematics and statistics for the purposes of player evaluation and decision-making in sports, and especially in hockey. He received a Bachelor of Science in Electrical Engineering from Lafayette College, Easton, PA, and a Master of Arts and a Ph.D. in Mathematics from Johns Hopkins University, Baltimore, MD.

Presenter Profile Page(s)

http://www.greaterthanplusminus.com/

Date of Event

Tuesday, September 13 from 7:00-8:00 PM

Location

Knight Auditorium, DeSantis Building, NSU Main Campus

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Sep 13th, 7:00 PM Sep 13th, 8:00 PM

Data Analysis in the Florida Panthers Organization

Knight Auditorium, DeSantis Building, NSU Main Campus

We give an overview of how data visualization and data analysis are used within the Florida Panthers organization and around the National Hockey League in a variety of different contexts. We discuss how analytics can be used to assist an NHL team’s front office, coaching staff, and scouting department. We also discuss the kinds of data we encounter on the business side of the organization in departments like sales and marketing. One example that we will discuss at length is a data-driven approach to predicting the popularity of a game, using only information that is known before tickets go on sale, when we have no sales data for individual games. Join us for a reception to welcome Dr. MacDonald at 6:00 PM outside of Knight Auditorium in the DeSantis Building. Refreshments will be served.