In an era increasingly driven by data, a robust Data Governance framework is paramount to ensuring data quality, regulatory compliance, and strategic alignment with business objectives. This is particularly critical in data-intensive sectors such as the fashion industry. This thesis investigates the integration of IBM Knowledge Catalog (IKC) into a sophisticated analytical workflow, providing a comparative analysis with other Data Governance tools for enterprise data management. The study explores Business Intelligence (BI) and ETL (Extract, Transform, Load) processes, which are fundamental in converting raw data into actionable insights that support strategic decision-making. It examines established Data Governance frameworks, key performance indicators (KPIs), and industry standards such as DAMA-DMBOK and COBIT.