All Episodes

Episode 152

August 23, 2023

with Ken Fine

āŸā€“ CEO, Heap

This week on The Data Stack Show, Eric and Kostas chat with Ken Fine, the CEO at Heap. During the conversation, the group discusses the unique auto track capabilities offered by Heap in the product analytics space. They also delve into Ken’s background, including his experience working on submarines and his transition to technology and startups. Ken explains the three elements of Heap’s solution framework, which include data capture, data science capabilities, and providing qualitative context. The conversation also covers the challenges faced by Heap in collecting and managing large volumes of data, their strategy and positioning in the market, the future of the data industry, integrating quantitative and qualitative data in product management and more.

Episode 151

August 16, 2023

with Chris Sell

āŸā€“ Co-Founder & Co-CEO, GrowthLoop

This week on The Data Stack Show, Eric and Kostas chat with Chris Sell, Co-Founder and Co-CEO of GrowthLoop. During the conversation, Chris talks about how GrowthLoop enables marketers to build customer journeys directly on the data warehouse. The group explores the divide between engineering teams, data teams, and marketing, and how it is closing as more companies adopt the modern data stack. They also touch on the challenges and opportunities for data warehouse vendors in implementing reverse ETL, the potential for a centralized customer data platform, the role of AI in marketing, and more.

Episode 150

August 9, 2023

with Brendan Short

āŸā€“ Co-Founder and CEO, Groundswell

This week on The Data Stack Show, Eric and Kostas chat with Brendan Short, the Co-Founder and CEO at Groundswell. During the episode, Brendan discusses his journey in being at Zoom during the high-growth stage in 2020 and his journey in founding Groundswell. They also discuss data models and how they create moats for startups, particularly in the sales space. The conversation also covers Brendan’s background in B2B SaaS go-to-market, the challenges of Salesforce’s data model, the potential of data warehouses as an alternative to Salesforce and the role of generative AI in improving user interfaces and sales processes, the future of data ownership, building trust in data-driven tools, and more.