Group 1 - The core viewpoint is that data decision-making capabilities have become a new form of productivity for enterprises, as evidenced by various innovations in data utilization across industries [1][5] - Shenzhen's data factor reform policy is set to deepen in 2025, exploring innovations in data trading and revenue distribution mechanisms [1] - A Guizhou industrial company successfully secured 20 million financing by pledging a "production process data set," marking a national first [1] Group 2 - The challenges faced by enterprises have shifted from technical aspects to value aspects as data is recognized as an asset, necessitating the transformation of manufacturing line data into financing credit [3] - A cable company utilized a 5G digital twin factory to create virtual models of real-time production conditions, enabling data to be assessed as an asset and facilitating "data pledging" [3] - A retail giant improved inventory turnover by 20% by integrating AI forecasting with RPA replenishment systems, transforming fragmented data into dynamic distribution strategies [3] Group 3 - FunBI's three-dimensional visualization platform redefines the data decision-making process through three core capabilities: zero-code business decision driving, multi-source data spatiotemporal integration, and AI-enhanced decision insights [3][4] - A home appliance company reduced its inventory transfer period from 48 hours to 4 hours by utilizing FunBI to overlay national warehouse heat maps with sales forecasts [3] - In a smart water management scenario, FunBI integrated various data types to enhance flood response speed by 70% for a central city [3] Group 4 - FunBI's technology addresses specific pain points in various industries, such as predicting equipment failures in manufacturing and optimizing supply chain logistics in retail [4] - A dairy company deployed a digital twin to preemptively warn of equipment issues, avoiding a potential loss of 2.4 million yuan per downtime incident [4] - A bank utilized blockchain and spatial computing to create a full lifecycle twin of biological assets, enabling dynamic credit for livestock farmers based on growth data [4] Group 5 - As the marketization of data elements progresses, the competitive dimension for enterprises has shifted from merely having data to making rapid decisions [5] - The Shenzhen data exchange pilot is expected to facilitate the path from data aggregation to governance, assetization, and decision empowerment [5] - FunBI offers not just tools but also the shortest path from data to decision-making, representing the best annotation of "new quality productivity" in the digital twin era [5]