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A new episode of The View on Data just dropped 🎙️ Faith McKenna (Lierheimer), Erica Louie, Paige A.C. Berry, and Jerrie Kumalah Kenney tackle one of the most persistent myths in data: that every decision needs pristine, statistically significant datasets. Spoiler: You can make strong calls with messy, incomplete, or inconsistent data. They break down what “good enough” looks like in practice, how to set expectations with stakeholders, and why confidence in your own analysis matters just as much as precision. They also share lessons on communicating clearly when the data isn’t perfect and why progress often beats perfection. 🎧 Listen and subscribe wherever you get your podcasts.

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