The boring work behind making AI/BI actually useful
Everyone talks about AI-powered analytics. Few talk about the data quality, governance, and platform work required to make it trustworthy.
Writing
Thoughts on data engineering, analytics platforms, and practical AI.
What an AI-ready data platform really means
The term 'AI-ready' gets used loosely. Here's what it means in practice — and what most teams are still missing.
Lessons from migrating a modern analytics platform
Platform migrations are never just technical. Notes on what goes right, what goes wrong, and what I'd do differently.
From dashboards to questions: building trust in AI/BI
The shift from static dashboards to natural-language analytics is real — but trust has to be earned, not assumed.
A practical guide to the semantic layer
The semantic layer is the most important piece of a modern analytics platform that nobody wants to talk about.