•1 min read•from Data Science
Do you work in a domain where data management isn't a huge headache (at least relatively so)? If you do, what do you work in?
I'm looking to pivot out of nonprofit work, which has some of the most chaotic and unstable data management; unclear and siloed metrics that are used 5 different ways by different teams, metrics that change definitions when we get new funders, new programs, etc.
So far I've heard that healthcare/pharma and HR are similarly chaotic and disconnected. If you work in a domain where data management and definitions, even if annoying, is still manageable and not a huge nightmare, can you tell me what you work in?
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