How Machine Learning Is Transforming Front Offices

On the latest episode of the Forward Progress podcast, we spoke with StellarAlgo founder and former SVP of Business Operations for the Portland Trail Blazers Vincent Ircandia about how teams are using advanced data aggregation and machine learning to improve their front office operations.

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Show Notes:

The use of dynamic pricing for tickets [4:22]
The front office environment and culture [6:15]
Finding a balance between a winning culture and a winning business strategy [8:20]
On the different types of owners running major league teams [11:18]
On the adoption of analytics into business operations, and the kinds of questions teams are looking to answer with data and through machine learning [12:35]
Hiring personnel and talent from outside of sports [15:20]
How leagues have differed in implementing technology [17:28]
Using data to understand every aspect of the fan experience [19:10]
The impact of secondary markets on business operations [23:10]
Technologically-innovative venues and security [25:20]
Focusing on the fan experience when teams are losing [28:17]
The traits and cultures of successful front offices [31:08]
On how some data is being pushed back on by player unions [34:20]
Understanding what a fan wants, and making that data actionable [38:45]
Responding in real-time to fan opinions and desires [41:16]
Integrating new technology with older stadium transaction processes [45:16]