Data modeling vs data building (and depth vs variety)
The organizational pieces that need to fall in place before you get to the science in data science
How experience in sales helps with technical product translation
Why Sarah started writing (and what she gets out of it)
UI power features and their feasibility
The code vs no-code debate
As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.
Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills.
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