Validation
Validation is the process of checking and ensuring that data meets specific rules, formats, or requirements before it is used for analysis, storage, or decision-making. It ensures the dataset is accurate, complete, consistent, and error free. For example, you can validate that loan amounts are positive, dates follow the correct format, and required fields like Loan ID, Customer ID, Branch ID and Channel ID are not empty.
Validation supports your analysis by:
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Ensuring Accuracy and Quality: Validation identifies and corrects errors, ensuring that the data is reliable and is of good quality.
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Preventing System Errors: Validating data before loading or using it prevents issues like mismatched formats or invalid entries causing errors in processes.