How to Design an Analytics Pipeline for a Growing SaaS
The analytics infrastructure that scales from 100 to 100,000 customers — event collection, data warehouse, transformation, and BI for SaaS product teams.
I write about data strategy, machine learning, generative AI, and the business of turning data into decisions. Each article is practical, actionable, and drawn from real client engagements.
The analytics infrastructure that scales from 100 to 100,000 customers — event collection, data warehouse, transformation, and BI for SaaS product teams.
A practical framework for building an enterprise AI strategy. Learn how to identify high-value AI use cases, build the right data foundations, and scale from pilot to production.
The three multi-tenant data architecture patterns for SaaS — shared database, database-per-tenant, and hybrid. How to choose the right one before your Series B forces a rebuild.
A practical guide to building an effective data strategy. Learn how to align data infrastructure, governance, and analytics with business goals to unlock measurable value from your data assets.
An honest comparison of Tableau and Power BI from a consultant who has deployed both. Covers cost, data modeling, visualization, enterprise fit, and when to choose each tool.
How a consulting firm went from stale monthly PDF reports to real-time, self-service KPIs their whole team actually uses — and the one thing that made adoption stick.
How a subscription business went from blasting everyone with the same discount to targeting the customers actually about to leave — and cut monthly churn by nearly a third.
How a fast-growing e-commerce company replaced a fragile, two-day-a-week spreadsheet process with an automated serverless pipeline the whole team trusts.
An insurance company couldn't tell regulators where its numbers came from. Here's how we built the lineage, catalog, and stewardship to pass the audit with zero critical findings.
Side projects and essays — where I explore data as a creative medium rather than a client deliverable.
A behind-the-scenes look at how Tokyo Pulse was built — the design decisions, the iterations, and what it takes to make data feel alive.
How I transformed dry census data from Tokyo's 23 wards into an interactive, breathing artwork that reveals the hidden rhythms of one of the world's greatest cities.
Inside the data engineering behind Formula 1 telemetry — from 300 sensors per car to real-time pit strategy. A breakdown of the streaming architectures that power modern motorsport.
Lessons from the Entrepreneur First startup accelerator in Hong Kong. What it's really like to find a co-founder, validate AI SaaS startup ideas, and go from zero to one — and why I'm ready to do it again.