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You’ve verbalized more about data science than most executives ever will.

• hdjjhhvvhga 4y ago
  It's a bit more nuanced. It's true that you do research looking for insights that would give you a competitive advantage, and you don't find many - and very often the results don't justify the cost. On the other hand, if you don't do that, you risk staying behind, so some form of data analysis is absolutely necessary for any business - you can't just run on your gut feeling especially once you exceed a certain size. As a side note, people tend to be very unimaginative in the initial stages of data analysis: very often they just take the data they have instead of thinking what data they need to have. And obviously the results correspond to the initial limitations. So much effort is put into data munging and other stages when your inputs are incomplete or plain irrelevant to what your business actually needs.
  • Breza 4y ago
    Data Science manager here. I've worked with companies that didn't know the profitability of their different client contracts because the data was stored in separate systems. Fixing that kind of thing is super profitable. Every additional data project after that adds less incremental value, and it's easy to hit the point where more analysis doesn't make enough money to be worth it.
• toto444 4y ago
  Maybe the executive is asking the wrong questions and puts it on the data scientist. Hint : 'Can you create a report that shows that my last decision was a success ?' is not a good question.
  • joshspankit 4y ago
    It’s a great question when the desired outcome is climbing the corporate ladder
  • dorianmariefr 4y ago
    "Why am I the best?"