Almost every business RELIES heavily on data nowadays, which is good! With subjective and accurate data, we can GRASP more than we can comprehend with our human brains. What matters is when. Data processing, like any system, is prone to errors. What is the value of data when there is a possibility that some of it could be lost, incomplete, or irrelevant? 

This is where ETL testing comes into play. In business processes today, ETL is considered an important component of data warehousing architecture. Data is extracted from source systems, transformed into a consistent data TYPE, and loaded into a single repository through ETL (Extract, Transform, and Load). Validating, evaluating, and qualifying data is an important part of ETL testing. We conduct ETL testing after extracting, transforming, and loading the data to verify that the final data was appropriately loaded into the system in the CORRECT format. It ensures that data REACHES its destination safely and is of high quality before it enters your BI (Business Intelligence) reports.