Whereas data transformation may not be a primary part of your job, it is always better to understand the steps involved. After all, we live in a world where both small and large businesses alike collect, store and analyze data in different formats. For this reason, it is mandatory that they transform data from one form to another.
But what does it take to transform data without encountering any issues whatsoever? To help answer this question, here are two steps to follow when looking forward to transforming data.
Before you even think about transforming data, you must first interpret data to figure out which type of data you currently have and what you need to transform it into. Even though it might seem like a walk in the park, data interpretation is in itself a mammoth task. That’s why you should spend time understanding what goes into data interpretation before doing anything else.
The good news is that you can take advantage of data interpretation tools that peer deeper inside the structure of a database or file. Through this action, you will see what is really inside. It is then that you can complete data interpretation hassle-free.
Data Quality Check
The moment you figure out which kind of data formats you’re working with and the forms you will transform data into, you need to run data quality check on the data. One might wonder why this is even important in the first place. Well, a data quality check makes it easy for you to identify problems within a database.
These problems may include missing or corrupt values within a database. You don’t want them to lead to problems when performing the data transformation process. Lucky enough, pre-translation data quality check is never going to take most of your precious time.
Understanding the data transformation process goes a long way in making sure your business decisions are well-informed. Hopefully, these tips can serve as a good starting point when looking forward to getting the most from data transformation and take your venture a notch higher.