BREAKING YOUR DATA TEAM OUT OF THE SERVICE TRAP
summary
Argues that data teams move from reactive service desks to data products by building plumbing then metrics then insights; Netlify uses Snowflake, dbt (core and Cloud), Transform as a metric store, Census for operational analytics and Mode for BI and experiments with Eppo. Describes the cycle of sadness where analysts rush, stakeholders distrust results (one in three execs uses untrusted data, 50% of time spent hunting, 85% project failure) and shows an insights hub (internal blog + metric definitions) and 2–3 hours weekly deep work to surface uptake-driving findings.
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chapters (7)
- 0:00Start
- 5:29Data teams are stuck in a vicious cycle.
- 6:56The Service Model is all wrong
- 19:09Data team structure
- 21:25Use Slack to start changing data culture
- 22:54Find partners in other parts of the business
- 24:18Prioritize proactive insights
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