Event-driven data models focus on structuring data around events, capturing the occurrence of significant actions or changes within a system. These events drive data flow, ensuring systems can respond in real-time to changes. By emphasizing events over traditional transaction-based models, event-driven architectures provide flexibility and scalability for modern data environments, particularly in industries that require rapid response times and adaptability.