Introduction
Data transformation cleans and shapes raw data so it is accurate and useful. This process fixes errors, fills missing values, and organizes data to make reports reliable and easy to understand.
When your sales data has missing or incorrect dates that affect monthly reports
When customer information is inconsistent, like different spellings of the same name
When you need to combine data from multiple sources with different formats
When you want to remove duplicate records before analysis
When you need to create new columns based on existing data for better insights