
Episode 14: DataOps is Good Business
DataOps Is Good Business: Breaking Data Silos, Building Trust, and Preparing for AIErik Boemanns interviews Simon Yost on episode 14 of the E.B. Spoke podcast about DataOps as a practical operating model that, like DevOps, breaks down silos and turns analytics into a competitive advantage. They discuss how broken dashboards and surprise metrics become business costs when data is split across departments, and argue most companies have a data integration problem rather than a data problem. Examples include disconnects between marketing analytics and operational systems (even detecting website outages), and how unconnected data can mislead key metrics like customer lifetime value and acquisition costs. They emphasize tools don’t create trust—process, shared definitions (data dictionaries), and dedicated stewardship do—often via audits/gap assessments and a data fabric approach. They also cover Simon’s background, fractional consulting at the intersection of DataOps, data engineering, and AI, and the need to slow down to speed up while avoiding security/regulatory pitfalls. 00:00 Why Data Delays Hurt 00:24 DataOps Meets DevOps 00:50 From Firefighting to Flow 01:29 Invest in Data Foundations 02:09 One Off Spreadsheets Trap 02:50 Where Data Silos Form 03:36 Meet Simon Yost 04:56 Marketing vs Ops Disconnect 07:52 Lifecycle Pain and CLV 11:05 Unifying Data Patch to AI 12:25 Audits and the Brain Trust 13:48 Data Fabric Done Right 14:52 Warehouses Lakes Fabric 15:23 Open Source Data Stack 15:53 Data Dictionary Language 17:52 Owning Customer Definitions 19:11 Why Teams Can't Fix It 21:39 Slow Down To Speed Up 22:19 Regulation Changes Everything 24:41 AI Fear And Culture 26:16 Fractional Help And MVPs 27:59 From Prototype To Scale 29:23 Final Takeaway And Wrap Get full access to E. B. Spoke at ebspoke.substack.com/subscribe














