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> I have tried to make my red flags and categories vague enough that they can apply to almost any organization <...> Trying to shoehorn something complicated i
by sublimefire 5y ago
> I have tried to make my red flags and categories vague enough that they can apply to almost any organization <...>
Trying to shoehorn something complicated into a set of broad statements does not help to address the underlying issues as they are not specific enough hence not actionable.
What is more "Data science" seems to be an ambiguous definition. Besides it is intrinsically an afterthought as data does not exist until the company collects it. I would also argue it is "a thing" only in large orgs or globally successful software; small companies do not posses datasets worthy of exploration.
Specifics would help as otherwise it feels like we're talking about technical debt.
- d3nj4l 5y agoAgreed - this article felt more like it was trying to appear clever and insightful without actually saying anything of insight. Okay, so data science in many organisations is dysfunctional: many people have already made that claim without resorting to waxing lyrical with historical analogies. What next?
- padthai 5y ago> small companies do not posses datasets worthy of exploration Or with a cash flow for a permanent position. Tech workers are used to be in companies with healthy gross margins and revenue where they make sense (theoretically at least). But even it tech I would not be surprised if there are teams of DS/SWE people in Uber or Doordash helping their companies to lose money faster.