As companies grow, they face complex challenges in managing data, including scaling concerns related to both growing teams and increasing data volumes. To address these challenges, companies need to adopt a structured approach to data management, separating the people using data models from those running the platform, and implementing tools like GitOps and specialized storage engines to handle large datasets. This shift requires significant investment in new technologies and processes, as seen in the evolution of companies like Shopify, which has had to adapt its infrastructure to accommodate growing data volumes and teams. By normalizing on a Git-based process and embracing specialized tools, companies can overcome these challenges and continue to innovate and grow.