Enterprise data management is a complex challenge that involves managing multiple departments, processes, and heterogeneous data across various systems. The traditional approach to enterprise data management often leads to departmental data management, where each department has its own IT system, leading to complexity and inefficiency. To overcome this, companies need to integrate their data, which can be achieved by creating integration hubs or a unified system that includes all data sources and processes integrated into one data model. A flexible graph platform like Structr can help achieve this by providing a unified central data model, allowing for easy creation of micro apps, and enabling fast development and deployment of applications with round-trip change times of a few minutes or hours. This approach enables companies to streamline their processes, reduce complexity, and improve user acceptance, making it an attractive solution for enterprise data management.