SC E05 — Analytics Crafting a Way Forward

Summary

Argues analytics should recognize itself as a legitimate craft, not just a technical discipline. Three traditional approaches to hard jobs: specialization, automation, or professionalization. Analytics is “irreducibly hard” and requires the third path. Draws a parallel to woodworking — excellence requires building “all those interrelated skills to the point where they function as a distinguishable whole” (mathematical reasoning, coding, communication, domain expertise).

Advocates an “imitate then innovate” methodology from medicine, teaching, and skilled trades. Analysts need access to real end-to-end work to learn from, not toy datasets. The community should share public analyses, create galleries, and establish mentorship.

Key Arguments

• Analytics is irreducibly hard — can’t be solved through specialization or automation alone
• Professionalization benefits individuals (sustainable careers), organizations (clearer hiring), and the field (consistent value)
• “Imitate then innovate” is proven in every established craft
• The community needs shared galleries of real analytical work, not just tutorials
• Multiple interrelated skills must function as a “distinguishable whole”

Writing Style Notes

The woodworking metaphor is vivid and earned. This piece synthesizes industry perspectives into a coherent argument. More essay-like than the typical newsletter format — a sign of the founder thinking through big ideas.

Connections

• index — early Sanity Check, defining the craft
• 2026 04 03 selling data science — professionalizing the craft of analytics
• 2026 04 03 analytics is a profession — Tristan Handy on the same professionalization thesis
• analytics as craft — the concept article this piece helped define
• 2026 04 03 the art of learning — “imitate then innovate” mirrors Waitzkin’s apprenticeship model
• open knowledge sharing — shared galleries and mentorship as the path forward