The “Secret Sauce” of Canada’s Top Public Sector Data Science Team
summary
Edmonton centralizes data science since 2021 and claims a four‑ingredient "secret sauce": a well‑defined problem, a willing stakeholder, clarity on who or what changes, and tolerance for unpredictable results. Concrete outputs include an integrated public‑safety database powering daily predictive heatmaps used by 20 partners, 65 projects operationalized with 90% deployment success and 2,000 users, a housing model trained on 600,000 inspections saving ~1,700 inspections per year and $500k, and a fraud monitor ingesting 1.4M transactions with 21 risk factors.
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chapters (8)
- 0:00Introduction
- 3:58Secret sauce for data science
- 5:21Well-defined problems
- 9:56Willing stakeholders
- 12:28Flexibility with unpredictability
- 15:16Operational change clarity
- 17:42Project prioritization and results
- 19:49Q&A
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