The text discusses the importance of shifting left in data management, where tasks traditionally performed later are moved earlier to improve efficiency and reduce risk. This approach addresses data quality, structure, and governance at the point of creation, minimizing downstream errors and improving trust in data. To achieve this, organizations need to address people, processes, and technology, including establishing processes that make sharing data the standard, using data contracts, and leveraging a data platform team to provide the necessary tools and infrastructure. The text highlights the benefits of shifting left, including improved quality, reliability, and usability across teams, as well as unlocking new opportunities for AI, machine learning, and data-driven decision-making.