Techniques for data mapping, profiling, and analysis using SQL in complex business environments

Abstract

In today’s dynamic business landscape, the ability to efficiently manage, map, and analyze vast datasets is pivotal. This manuscript investigates advanced techniques for data mapping, profiling, and analysis using SQL—a foundational language in relational database management. By exploring these techniques within complex business environments, the study identifies how SQL can be effectively leveraged to uncover insights, streamline decision-making, and maintain data integrity. The research highlights the evolution of SQL tools, the integration of data quality assessments, and the methodologies applied in real-world scenarios.  Through comprehensive literature review, detailed methodology, and robust result analysis, this paper demonstrates the practicality and scalability of SQLbased solutions in supporting business intelligence initiatives, ultimately providing guidelines for best practices in data handling and interpretation.