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Analytics and AI without the intimidation. Plain-language guides to SQL, data work, and practical AI — examples you can use at work, a little humor, no PhD required.
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Inclusive metrics and whose story is missing
A metric can look clean and still leave people out. Part 2 of Inclusive data products shows how to ask who is in, who is out, and what action follows before a KPI becomes policy.
Handling a data incident
A wrong dashboard number is a data incident, not a spreadsheet oops. Learn the first 24 hours: contain, triage severity, run a…
Prompt injection for data people
Prompt injection is not only a chatbot prank. For data teams it rides in tickets, docs, CSV cells, and tool outputs. Here…
When a Custom GPT is the wrong solution
Part 4 closes Custom GPTs and the ChatGPT track on AMS. Use a chooser for when a GPT is wrong (one-offs, live…
North Star vs team scorecards
A North Star focuses the company; team scorecards run the work. Learn when one metric is too few, when a KPI wall…
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