How to pitch data science workflow to your employer?

[taras]

That is a great question!
I work at a company where data initiatives are at infancy stage. Partly, this is why I created this thread earlier:

Data Science mentorship

Hello world! Has anyone ever had a mentor in their life? If you are one of the lucky few who had - you know how helpful it is to know a person who's gone through the things you're going through, and can advise and help and point in the right direction... I've been fortunate to have a few mentors in my professional life, with primary focus on corporate world in general. However, I work for a company with data initiatives being years behind, and I literally have no one to learn from. I just kind of figure stuff out by myself, which takes time and is very inefficient, but there is no one else to ask. Don't get me wrong - there are many brilliant business people, finance people, accountants,…

What I've found is that any proposals you might have come easier if you have enough of career capital. In which case time and hard work are one's best friends.

Now, you may not have the time or the patience to gain career capital. In which case domain knowledge and expertise become even more important.

I guess I kind of leverage both things. Being at the company for over 5 years and earning a seat at a few tables, and also demonstrating that I know what I'm talking about at least some of the time helps me push some of the ideas forward...

Vacuum also helps. At my company, we weren't doing any ML or predictive analytics in general before I started it, so there was never a question if we should use R or Python. We use R because I know R

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P.S. What never worked for me is showing how things are done elsewhere. I literally read out loud every StitchFix Multithreaded blogpost to my boss and my CIO (well, figuratively), but that hasn't help. I send my notes from every HBR webinar and discuss ideas, but it yet to yield any fruit... But it could be just my bad luck or poor communication.