SC 013 — Analyzing in Public

Summary

Argues that the secretive nature of internal analyses is a barrier to growing the data profession, then curates public analysis resources: SaaS Metrics 2.0 (canonical for B2B SaaS measurement), SOMA B2B SaaS (modular analytics project with fake source data), Drilling Down (CPG/eCommerce with RFM analysis), Kaggle datasets (real-world messiness), Reforge Artifacts (applied examples like Pinterest’s growth model), and SQL for Data Analysis (O’Reilly, covering time-series and cohort analyses).

Key Arguments

• “The secretive nature of internal analyses are a barrier to growing the data profession” — the core thesis
• Public analysis resources exist but are scattered — curation is valuable
• SaaS Metrics 2.0 guided real business measurement at ConnectWise
• Reforge artifacts are “often simpler than expected” — demystifying professional-grade work
• Real data messiness (Kaggle) teaches what clean tutorials cannot

Writing Style Notes

Curation-forward — the founder as guide and connector rather than lecturer. Each resource comes with personal context for why it matters. The “analyzing in public” framing mirrors “building in public” but for the data discipline specifically.

Connections

• index — part of the Sanity Check body of work
• index — Squarely puzzle mentioned in Puzzle Pointers section
• 2026 04 03 selling data science — making analytics work visible
• open knowledge sharing — the core thesis of this piece
• analytics as craft — public analysis as the “gallery” the craft needs
• 2026 04 03 reforge why analytics efforts fail — Reforge artifacts as demystified professional-grade work