Abstract
In the realm of data management and business intelligence, effective data representation becomes crucial for deriving actionable insights. This is true specially when dealing with raw data, where inconsistencies and scattered information across columns can hinder analysis. SQL’s STUFF function offers an efficient solution for these string manipulation tasks, especially in scenarios where data needs to be consolidated, reformatted, or restructured within a single column for streamlined reporting and analysis. This article explores the application of the STUFF function to address specific business problems, with a focus on concatenating distinct values into a single column, enhancing data readability and