subsidiary level into regional, brand, and divisional views to support multi-layered reporting hierarchies. Retail Data Lake supplies pre-built Power BI data sources and report packs focused on metrics such as margin, units per transaction, price per comparative metric, weeks cover, stock turn, on-hand value, and refunds. Users can create custom dashboards using drag-and-drop visualisation blocks and can schedule, export, or embed reports across business tools. The platform supports cross-source data comparison, natural language queries, and predictive modelling to address use cases such as sales analysis, inventory management, customer insights, and quality control.