Transcript
Guest
Colin Zima
CEO
Traditional BI tools have long treated data modeling and analysis as separate workflows—and that disconnect is slowing teams down at a time when faster, more iterative data work is essential.
In this episode of the Data T, Colin Zima, co-founder and CEO of Omni and formerly Chief Analytics Officer and VP of Product at Looker, shares his perspective on why the classic approach to business intelligence is due for a redesign. We dive into how modern teams benefit from just-in-time data modeling, a more collaborative workflow for data producers and consumers, and the relationship between the semantic layer and AI reliability.
Hosted by Coalesce Co-Founders Armon Petrossian and Satish Jayanthi.
Key Topics
- Early startup challenges and reflections
- The evolving BI landscape
- The evolution of the Modern Data Stack
- Perspectives on data modeling
- The role of semantic layers in AI
- Hot takes in data analytics
- Collaboration as a key to success
- Building trust in data teams
Hosts
Armon Petrossian
CEO & Co-Founder
Satish Jayanthi
CTO & Co-Founder