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People analytics never needed a data scientist. It needed clean data - and you were sold a degree to hide that.
The standard people-analytics books hand HR a reading list: learn SPSS, pick up Python, master the statistics, and maybehire an analyst. So HR stays stuck at the descriptive level - counting headcount, reporting turnover after the people alreadywalked - and keeps losing the argument in the room. Not because HR can't think. Because the tools gatekept the thinking.
Here is what actually works. AI now reads your messy HR export, cleans it, and does the modeling you were told required aspecialist. Your job shifts to the part that was always yours: asking the right question and defending the answer.
This book is built on the PEARL system - Prepare, Explore, Analyze, Reveal, Lead - five AI agents you build once, inClaude, and reuse every quarter to go from a raw export to a board-ready deck in the language of money. No Python. Nostatistics degree.
I ran HR analytics by hand for years before I rebuilt all of it with AI, and now teach it to HR professionals in every cohort atmy academy.
Stop waiting for a data team. Build your own.
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