Standardization Data Validation Data validation

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Data Standardization Data standardization is like putting all your clothes in one place and organizing them by type. It involves making sure that your data follows a consistent format. For example, if you have different variations of the same company name, you standardize them to one format. When you standardize your data, it becomes easier to search, analyze, and use. Just like finding your favorite shirt is easier when your clothes are organized by type, finding specific information in your data is simpler when it's standardized.


This helps in making better decisions and ensures that everyone in your armenia whatsapp number database team is on the same page when using the data. Data StandardizationData StandardizationData StandardizationData is like checking if your clothes are clean before putting them in the wardrobe. It involves verifying the accuracy and completeness of your data. This can be done through automated checks or manual verification. When you do data validation, you're making sure that the information you have is correct and complete.


Just like you wouldn't want dirty clothes in your wardrobe, you don't want incorrect or incomplete data in your database. One way to validate data is by using automated checks. These are like machines that quickly scan through your data to look for any mistakes or missing pieces. Another way is through manual verification, which means someone goes through the data one by one to make sure everything is right.