The three most important letters in data & analytics are W-H-Y w/ Luke Slotwinski from Prologis
Catalog & Cocktails: The Honest, No-BS Data Podcast
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Data Centric Conversations
The problems not at the aggregated metric level. The problems to fix are at that lower level. That's when i think one fundamental thing. Most enocoli, k p is are lagging metrics. You're going to find the problem after the time has gone and your ability to influence it is past. So we deftly catalogue what else is down there on the horizon. And then if you look at explore, exploratory data analytics, that excel look and feel goes a huge way. Write to me as being able to crank open excel and pivit data, its dirty sigma computing. People find a lot of value in the speed and inflexibility with which they can do
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