The Quality and Alignment System (QAS) was introduced to address issues of poor data quality from the source systems. QAS streamlines various processes by ensuring thorough data reconciliation and validation. The implementation of QAS has brought significant improvements to data handling, making it more accurate and efficient. The technical landscape of QAS, supported by Databricks, offers a streamlined and reliable data handling process, reducing errors and improving the quality of outputs.