From the course: Leading Teams Working with Data: Pitfalls and Best Practices

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Triple check your work

Triple check your work

From the course: Leading Teams Working with Data: Pitfalls and Best Practices

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Triple check your work

- Whenever you work with data, you need to make sure that you and your team are double checking and yes, even triple checking your work. This is because as you do data manipulation and modeling and forecasting, and as you compile the implications, different changes in the data can happen along the way. And if you're not a double or triple checking your work, you might miss something. Plus the biggest important goal of analyzing data is to deliver value. And this requires you not to treat data analysis like a bow and arrow where every time you do it, it's just done and gone. You should treat it more like a boomerang where every time you're doing some analysis, you throw it out there, but it should also come back and you should incorporate feedback that you get in that process from your colleagues, your manager, and your stakeholders. And that process of going around and around, of iterating on data should continue even…

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