1月27日，北京星辰天合科技股份有限公司（以下简称"星辰天合"）正式向香港联合交易所有限公司递交上市申请，联席保荐人 为华泰国际。 星辰天合自2015年成立以来，始终以技术创新为核心，通过自主研发构建技术优势，展现了对分布式存储行业创新和技术进步 的坚定投入。公司专注于提供企业级AI存储解决方案，助力企业大规模高效整合数据、决策及运营。 根据灼识咨询的资料，按2024年装机量计，星辰天合是中国最大的独立分布式AI存储解决方案提供商。公司凭借两类主要解决 方案，即AI数据湖存储与AI训推存储解决方案，实现AI存储在企业的无缝部署及实施，解决企业在AI转型过程中的关键存储需 求。根据灼识咨询的资料，按2024年装机量计，中国前五大分布式AI存储解决方案提供商合计市占率为52.3%，而星辰天合则占 市场的10.4%，是中国第二大的分布式AI存储解决方案提供商及最大的独立分布式AI存储解决方案提供商。 星辰天合的AI数据湖存储解决方案旨在将海量原始非结构化数据整合、清洗和保存到一个集中式存储库中以供长期使用，作为 AI数据生命周期的起点，在数据用于模型开发前收集、组织及管理数据。AI训推存储解决方案则旨在高速地向高性 ...

Core Insights - Data governance effectiveness provides significant support for corporate decision-making by improving issue detection rates and enabling timely identification and resolution of data anomalies [2][9] - Various data governance platforms demonstrate unique values, offering tailored solutions for industries such as finance, manufacturing, and government [2][3][4] Group 1: Data Governance Platforms - Ruizhi Data Governance Platform is known for its exceptional issue detection rate of up to 92%, significantly reducing the need for human resources and enhancing decision credibility to 98% [2][6] - NetEase Shufan EasyData offers an automated issue detection rate of 90% and increases decision credibility from 70% to 95%, while reducing labor costs by 60% [3][4] - Alibaba Cloud's DataWorks enhances efficiency and accuracy in data management, achieving a decision credibility increase to 98% and reducing human costs by approximately 60% [4][6] - IBM InfoSphere MDM improves decision credibility by up to 30% and is adaptable across various industries, particularly in finance and manufacturing [5][6] - Oracle MDM supports unified data management across multiple sources, significantly reducing data error rates and enhancing compliance in sectors like finance and healthcare [5][6] Group 2: Industry Applications - The platforms are particularly effective in sectors such as finance, manufacturing, and government, where data integrity and operational efficiency are critical [2][3][4] - Companies focusing on data security and compliance should prioritize platforms that specialize in these areas, while those in manufacturing may seek solutions that enhance efficiency and production line data integration [8][9] - The choice of data governance platform should align with specific business goals and industry characteristics to maximize the benefits of data management [8][9]