Data validation is a vital part of any data handling task be it when collecting information in the field or planning to present your data to stakeholders. If your data is not accurate from the word go, your results will certainly won’t be accurate either. That’s why you ought to verify and validate your data before putting it into use.
Even though data validation is an important step in any data workflow, it’s often skipped. Many view it as a process that’s only slowing down their pace of work but this is not really the case. In fact, it helps you create the best results possible. Better, you no longer have to go through a lot before you finally validate data since technology has made things pretty easy.
Why Validate?
For you to stand the chance of mitigating any project defects, you need to validate the accuracy, clarity, and details of the data. By skipping data validation, you’re at risk of basing decisions on data with irregularities. This can eventually lead to the downfall of your business since your rivals will have an added advantage.
Whereas verifying your data and values is something that should never be skimped on, it is also important to validate the data model itself. If your data model is not built correctly, you’ll have a hard time when trying to leverage the data files in various applications and software.
When validating your data, the structure and standards of the data model that your data set is stored needs to be well understood. Failure to do so may lead to files that are not compatible with applications or any other datasets with which you may choose to integrate your data. This is something you never want to make do with if you’re to make well-informed decisions.
Whether you choose to go with the process of data validation excel or you choose to make do with data integration platforms, you’re certainly going to reap maximum benefits. Of course, you need to understand how to go about it if you’re to have an easy ride.
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