Data transformation possibilities

Why do we need to change raw data? One of the reasons is that it can be full of errors or missing pieces, and it’s not uniform. Different data formats and styles can make it hard to use. To solve these issues, data needs to be processed and transformed. This makes it accurate, consistent, and easy to use.

The goal is not just to fix errors but also to create new and more meaningful data. We clean and reorganize the data and mix it in new ways. This leads to fresh insights that can be used in reports or to make predictions.

This new, smarter data helps data-driven companies make better decisions. Instead of guessing or making assumptions, they can base their strategies on real, solid data. So, data processing and transformation not only solve problems but also help create valuable new insights.

Let’s say you’re a data analyst at a big retail company who’s studying customer buying trends. Your data is spread across...