Writing

On data, teams, and getting it right

Notes on the parts of this work that don't fit in a services page. Three pieces in progress.

  1. AI-Readiness

    Making your data AI ready

    AI initiatives rarely fail at the model. What it actually takes underneath: semantic layers, data contracts, and access controls an agent can safely act on.

    Coming soon
  2. Team & org

    How to structure a data org at every stage of growth

    The shape that works at ten people breaks at a hundred. Which roles to hire when, when to centralise, and when to embed analysts in the teams they serve.

    Coming soon
  3. Analytics

    Self-serve analytics that actually holds up at scale

    Handing everyone a BI tool is not self-serve. What has to be true about your modelling, metric definitions, and ownership before people can answer their own questions.

    Coming soon

Would rather just talk it through?

30 minutes · No commitment · Remote across North America and Germany, or in person in Montréal