All Episodes

Episode 218

December 4, 2024

with Joyce Myers

 – Chief Data Officer, Modern Technology Solutions

This week on The Data Stack Show, Eric and John welcome Joyce Myers, Chief Data Officer at Modern Technology Solutions. During the episode, Joyce discusses the evolution of logistics from paper-based systems to electronic data management, emphasizing the importance of data quality and fidelity in decision-making. She shares insights on how minor data entry errors can significantly impact resource allocation and operational efficiency. The conversation also highlights the critical roles of leadership, communication, understanding the purpose of data in enhancing organizational efficiency and achieving strategic goals, and much more. 

Episode 217

November 27, 2024

with Ryan Janssen and Paul Blankley

 – CEO, Zenlytic | Founder and CTO, Zenlytic

This week on The Data Stack Show, Eric and John welcome Ryan Janssen and Paul Blankley from Zenlytic. The discussion explores the evolution of language models, their academic journeys, and the transition from consulting to founding Zenlytic. The group delves into the balance between data-driven insights and human intuition in decision-making, the challenges of making data accessible for non-technical users, and the significance of understanding both data and human intuition in driving business success. The episode also touches on the importance of context in data analysis, the future of AI in analytics, and so much more. 

Episode 216

November 20, 2024

with Ethan Aaron and John Steinmetz

 – CEO at Portable | VP of Analytics, Gallo Mechanical

This week on The Data Stack Show, Eric and John welcome Ethan Aaron and John Steinmetz. Ethan is the CEO at Portable while John is the VP of Analytics at Gallo Mechanical. During the conversation, the group explores the intricacies of data work including a discussion around the distinctions between data teams and product/engineering teams, emphasizing the importance of aligning data initiatives with business goals. Ethan and John share their career journeys and insights on building effective data teams, the concept of data contracts, the analogy of data management to plumbing, the importance of self-service analytics, the need for data teams to be seen as profit centers, and so much more.