Bigger pieces, some published and some still being written.
Put data people where the data work is, and build each business concept once: as shared tables, or with a thin platinum layer.
My view of all twelve areas of data governance, from value and ownership to data sharing and AI, and how you'd show each one is working.
Four boundaries, from your own setup to anywhere, and how to pick one.
Five levels, from feature-focused to data-powered, and why most teams sit lower than they'd guess.
When a team changes the system of record, they own the downstream data product too, rather than leaving someone else to catch the break. A narrower, practical cousin of data mesh.
How to hire and grow data people, from a standing start to a team of more than fifty.
Turning a data platform into a revenue line, and what it takes to sell data and AI rather than just build it.