• A look at how typical data teams are structured with examples from Snowplow customers, and discuss the pros and cons of each.
  • Using the specific case of Hudl to explore the stages of evolution within the data team and what factors contributed to that evolution.
  • Reflect on the lessons learned at Hudl and what they would have done differently during their evolution.
  • Highlight the opportunities for data teams to exert their value and create long-term business impact.