The Data Economy` is a video podcast series about leaders who use data to make positive impacts on their business, customers, and the world. To collaborate with technical and business colleagues, identify legacy application issues such as slow "batch world" processing limitations, frontend user-experience issues, architecture deficiencies, and data storage concerns. Real-time streaming flow and analytics can be achieved by changing from batch processing to real-time paradigms, simplifying app development with a robust multi-model data platform. This shift can create differentiating capabilities, making quicker and more accurate predictions and aiding in real-time decision-making. Architects must design real-time capabilities while considering technical challenges such as multicloud, microservices, in-memory databases, caching solutions, and reference data storage. The key business technology challenge is creating versatile, real-time data processing architecture that serves multiple business needs, requiring ongoing experimentation with machine learning and real-time analytics to develop algorithms and deliver applications.