Securing Executive Buy-In for Data Strategies
summary
Five concrete steps for turning data into measurable business value: engage cross‑functional teams, set clear outcomes, measure performance, communicate stories, iterate. Uses G Sheets and a modified weight shortest job first prioritization, an opportunity canvas for handshake success metrics, GitLab Plans for quarterly OKRs, Snowflake and Gainsight integrations. Built a propensity to churn model that feeds Gainsight and reportedly cuts churn ~2% (millions in impact) and propensity‑to‑purchase models that generate multi‑million leads. Also pilots federated workflows and AI agents for simple analytic engineering tasks.
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chapters (13)
- 0:00Introduction
- 1:52Data in customer experience
- 2:58Deliver data value in 5 steps
- 4:02Engaging teams and executives
- 6:52Prioritizing data initiatives
- 9:18Outcomes with opportunity canvas
- 11:25Data outcomes and company strategy
- 12:27Measuring performance in 4 areas
- 14:56Storytelling for data value
- 17:03Iterating based on feedback
- 19:10AI adoption without traps
- 21:175 actionable steps and closing
- 21:59Q&A
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