Background - In the era of rapid digital economy development, data has become a core element for innovation and competition in industrial enterprises. The increasing reliance on data governance aims to transform massive data into usable data assets to support intelligent decision-making, optimize operations, and drive business innovation [1] - Industrial enterprises face significant challenges in data governance, including low data quality, severe data silos, increasing security and compliance risks, and difficulties in sustaining governance results [1] "1-1314" Framework - The "1-1314" data governance framework is an innovative governance model proposed by IDGA experts, based on DAMA data management knowledge and DCMM national standards, tailored to the needs of industrial enterprises [2] - The framework aims to address data quality issues with a problem resolution rate of over 95% through a four-layer quality protection mechanism [2] - It ensures a complete governance loop covering the entire data lifecycle, transforming data governance from a one-time project into a continuous optimization process [3] - The framework integrates international perspectives with local applicability, offering innovative solutions for business scenario governance, factory-level data modeling, and lifecycle quality control [3] Framework Details - The "1-1314" framework consists of five core modules that establish a comprehensive governance system, including a robust data management system, a multi-layered security protection system, and a knowledge transfer mechanism to enhance governance capabilities [4] - It innovatively designs a four-layer quality protection mechanism to ensure quality control throughout the data lifecycle, addressing the persistent challenges of data quality in industrial enterprises [4] Practical Applications - The white paper emphasizes that effective governance solutions must possess both breadth and depth to achieve long-term governance [6] - The "1-1314" framework addresses deep-seated issues in data governance through six core practical scenarios, including the reconstruction of data standards, the establishment of a static data center, and the implementation of a data quality monitoring platform [6] Future Development - The "1-1314" data governance framework will continue to evolve with a focus on two dimensions: exploring more refined data governance depth through intelligent algorithms and expanding governance boundaries using new technologies like AI [7] - IDGA will collaborate with industry partners to optimize and upgrade the framework, providing smarter and more efficient data governance solutions to support enterprises in achieving data-driven digital transformation goals [7]