Core Insights - The quality and quantity of data are crucial for the depth and intelligence of the financial industry [2] - There are three main shortcomings in data sharing across the country: fragmented public data, immature data sharing models between data-rich entities and financial institutions, and insufficient development of behavioral data applications [2] - A comprehensive financial database should be built based on five interconnected dimensions: sufficient public and non-public data, complete transaction and behavioral data, quality-assured structured and unstructured data, accurate periodic data, and specialized multi-dimensional and multi-modal data [2] - Zhejiang and Hangzhou are leading in creating a data environment that serves as a national benchmark for data sharing [2] Future Outlook - Over the next five years, a technologically advanced, functionally complete, and secure digital financial ecosystem is expected to take shape in China [3] - This ecosystem will include localized financial models and applications extending to small financial institutions, with a focus on self-controlled operating systems [3] - National and enterprise-level computing and data centers will be established to meet domestic needs, ensuring robust hardware support [3] - Financial intelligent agents and smart financial apps will enhance user experience by providing secure links, compliant services, timely information, and personalized support [3]