Blog
I write about AI workflows, BI architecture, data migration, Copilot, Fabric, and training. Some posts are practical. Some are opinionated. Most are both.
Featured article
Most teams do not have an agent problem. They have a control problem. The first time an autonomous workflow looks impressive is usually the least important moment in the whole r...
Read moreA straightforward explanation of what MCP is for, why it matters, and where it becomes useful in practical AI-assisted workflows.
A practical view of where generative AI helps in BI work, where it still falls short, and why data quality still decides most of the outcome.
A practical view of ETL work, why repeatable logic matters, and what keeps pipelines maintainable.
A simple view of what separates useful BI work from reporting that just looks busy.
A grounded look at the skills that still matter when you are getting started in data analytics.
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The same topics show up in workshops, architecture reviews, BI advisory, and AI workflow design work.