From the course: Lessons from Data Scientists
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How to measure success
- To measure success really around if you're able to deliver an end value for your company. So often data science projects fall short of the value that people think they have. Especially in such a kind of hyped up industry right now, where no matter what it's like, we're doing AI for this, or we're doing AI for that. And it is data-driven and so on. But at the end of the day, you have to ask yourself, is that actually going to provide value to our customers or to our board or so on. Thinking really intelligently about what that metric is, is going to go a long way towards defining success. And then also making sure you reach that gold line. And so the added value is what I always look at for defining success for a data science team. Like, are we actually adding value to our final product?
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