From the course: Data Management Essential Training

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Data validation: Ensuring accurate data

Data validation: Ensuring accurate data

From the course: Data Management Essential Training

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Data validation: Ensuring accurate data

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- [Narrator] Another important concept I want to cover while we're talking about data collection is data validation. We're early in our data management lifecycle at this point, and it's vital that at this stage we make sure we have accurate data. Without accurate data now, the rest of the lifecycle is worthless, which means there won't be a solid foundation for sound business decisions. The easiest way for me to illustrate data validation is when I think about filling in a form online. There are several fields where we must enter information. It's likely the form is using validation techniques to ensure we enter the correct information. There are several different techniques that can be used here. First, there are format checks. The easiest example here is an email address. We know that email addresses need to be formatted in a certain way to be valid. They need to be a string followed by an at symbol, another string, a full stop or period, and then another string. There is some…

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