From the course: Data Analytics for Students
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Apply data governance principles
From the course: Data Analytics for Students
Apply data governance principles
Strong analysis depends on strong data. And that only happens when you have control over how your data is collected, stored, and maintained. Data governance is the framework of policies, processes, rules, and standards that keep data accurate, consistent, and secure. It also defines who is responsible for the data and who has the permission to access it, so the right people are maintaining it and the wrong people aren't changing it. So what is good data governance look like? It means putting practices in place to ensure data is entered correctly, stored safely, and captured in a way that supports your goals. That also includes choosing the right level of granularity or deciding how detailed your data should be so you collect enough information without overwhelming yourself. You want confidence that the information you're working with truly reflects what's happening. Here's a simple example. Imagine you manage a website and one of your KPIs is the number of unique visitors. For that…
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