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Are your data projects rushed out too soon?

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Every single one of them.

People chant 80/20 3 times a day and then blame you 6 weeks later when some result seems weird.

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😂 you in Gamma?

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I work in a very revenue focused operations org with low headcount. We deploy almost everything, and use pilots as a safeguard. Much of our work is naïve to an extreme extent, but most of it works. This makes for two views: the business's and the craftsman's/outsider's. From our upper management's perspective, we're a leading standard in what dollar value analytics has to add. But from the ground and the outside, bastardizing statistics and ML is an obvious cardinal sin, even if it ends up making money and blowing up industry benchmarks like 80% of data science projects failing.

I'm wondering if there are other orgs successful from a business perspective that operate the same way. Or if we're just severaly understaffed and/or incompetent.

I want to feel good about our contribution, but often find this extremely difficult.

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That's pretty much every client services team out there.

You and I should start our own company. We'll make no money, but at least we wont betray our true theoretical principles.

I guess I'm asking you if you want to start a public research university with me.

all of them

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I hvnt received.

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I have huge crush on one girl.
5 th floor. RPD team. QA member.
Hope you are a single 🙊.

likehelpful
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