From the course: The Non-Technical Skills of Effective Data Scientists

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Being an effective analytics translator

Being an effective analytics translator

From the course: The Non-Technical Skills of Effective Data Scientists

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Being an effective analytics translator

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- In my experience, very few in senior management want to hear about the root mean squared error you just got on your forecast, or the R squared you got on your most recent regression analysis. They have different priorities for their meetings with you, and not a lot of time to meet. The trick to navigating this is to distinguish in your mind, individual projects and how they come together to produce solutions. The technical measures like RMSE are between you, your immediate colleagues and your analytics manager. Now, if you're a project lead, they're important, but your colleagues outside of the analytics team are speaking a completely different language. Their language is the language of the business. Year over year growth, net revenue, margin, ROI, sales conversion, among others. In short, you have to be prepared to be bilingual, speaking one language with your immediate team, and another language with everyone outside of your team. If you are a new member of the analytics and data…

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