BRC required a modern, scalable data infrastructure to overcome challenges related to fragmented data sources, time-consuming data preparation, and limited advanced analytics capabilities. Existing systems made it difficult for analysts to efficiently process, integrate, and analyze large volumes of data, slowing decision-making and reducing the effectiveness of AI-driven insights. The lack of unified analytics, self-service tools, and robust data governance also impacted data quality, security, and operational efficiency.