Well, so far we have seen several useful use cases of data transformation.

Let's try to list these benefits:

• Data transformation promotes interoperability between several applications. The main reason for creating a similar format and structure in the dataset is that it becomes compatible with other systems. 
• Comprehensibility for both humans and computers is improved when using better-organized data compared to messier data. 
• Data transformation ensures a higher degree of data quality and protects applications from several computational challenges such as null values, unexpected duplicates, and incorrect indexings, as well as incompatible structures or formats. 
• Data transformation ensures higher performance and scalability for modern analytical databases and dataframes. 

In the next section, we will outline some of the challenges encountered in data transformation work.