A large e-commerce company is running flash sales during the holiday season, processing massive amounts of transactional data in real time to optimize its supply chain, pricing strategies, and fraud detection. To address this challenge, the company may consider implementing an operational data warehouse (ODW), which delivers real-time analytics, enabling organizations to make immediate business decisions. An ODW is a continuously updating system that enables real-time data processing and analytics, bridging the gap between operational systems and analytical insights. It operates through three key stages: data ingestion, data processing, and query optimization. The benefits of implementing an ODW include real-time decision making, improved data consistency and accuracy, enhanced operational efficiency, faster fraud detection and risk mitigation, and better customer experience. With proper planning, technology selection, and performance optimization, businesses can unlock the full potential of their ODWs, reducing costs, improving query performance, and maintaining data reliability at scale.