Core Insights - The 2025 "Data Element ×" competition's Guangdong division finals were held in Dongguan, marking the launch of the Dongguan Data Industry Cluster Area [1][5] - Dongguan's government released the "Dongguan Data Element Marketization Reform Action Plan (2025-2027)", aiming to establish a comprehensive reform framework and achieve specific targets by 2027 [4][5] Summary by Categories Event Overview - The finals featured over 100 teams competing across four tracks: industrial manufacturing, commercial circulation, meteorological services, and emergency management [3][8] - The event is part of Guangdong's strategy to promote data empowerment in the economy, with Dongguan hosting the most teams and tracks in the province [8] Government Initiatives - Dongguan's government has issued 77 policies related to data industry development since initiating the first round of data element reforms in 2022 [4] - A new funding policy system was established to reduce data conversion costs for enterprises, focusing on key sectors like industrial manufacturing and financial services [4] Reform Framework - The "1+4+15" reform framework aims to enhance data supply, infrastructure, industry ecology, and application scenarios [4] - By 2027, the plan targets the creation of at least 30 high-quality industry-level data sets, 10 exemplary cases of "data elements ×", and the establishment of at least 200 data enterprises [4][5] Data Industry Cluster Development - The Dongguan Data Industry Cluster Area is designed to attract leading data companies and foster high-level applications of data elements, particularly in AI [7] - The project aims for cumulative data industry revenue exceeding 20 billion yuan and output value over 10 billion yuan by the end of 2027 [7] Competition Structure - Each competition track will have awards including first, second, and third prizes, along with special awards, promoting sustainable development in data innovation [9] - The competition encourages teams to present solutions addressing industry pain points, enhancing the integration of data and intelligence [8][9]