From the course: Leading Teams Working with Data: Pitfalls and Best Practices
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Review data collection: How and where
From the course: Leading Teams Working with Data: Pitfalls and Best Practices
Review data collection: How and where
- When it comes to using data, you should always be skeptical. It's important to review where data's coming from and how it was collected. And it's important to make sure that the collection was consistently done across time periods. You want to make sure that you're comparing data that's apples to apples and not apples to grapefruit or dogs. Making sure that you're able to know where your data came from and that it is consistent is important. You're staking your reputation on the analysis of the data and if the data doesn't come from a good place, that's a risky bet. Additionally, most people think data's clean and it's not. It's important to go through the data. Furthermore, even when it comes to official government data, something people consider the gold standard of data, it's still important to review it, look for issues, and make sure you understand where it's coming from, what it's actually showing, and if there…
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Communicate the big picture1m 10s
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Discuss potential issues in the data1m 34s
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Assess data storage and processing1m 59s
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Review data collection: How and where1m 40s
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Create data if you need it1m 2s
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Triple check your work1m 20s
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Show and teach1m 54s
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