Importance of validating data

What this means is data validation, in order to be as successful as it can be, must be implemented at all parts that get the data, processes it and saves or prints the results.

The benefit of data validation is the ability to mathematically interrogate the veracity of the sources of data flowing and apply scoring models during data consolidation so that the results of the final derived dataset are of the highest quality obtainable.And if they are, they encounter the most important, often overlooked, “V” of all: validation.That is why data quality has emerged as such a critical issue.The rules may be implemented through the automated facilities of a data dictionary, Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system.Data validation rules can be defined and designed using any of various methodologies, and be deployed in any of various contexts.

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