央企数智化转型样本：中国电信财务公司为何耗时一年“推倒重建”核心系统？

Core Insights - Digital transformation is now a critical path for enterprise upgrades, shifting from an optional strategy to a necessity in the digital economy [1] - Many enterprises hesitate to proceed with digital transformation due to high costs and the disconnect between technology upgrades and business needs [1] - China Telecom Financial Company serves as a case study demonstrating the value of digital transformation through its successful core system reconstruction [2] Company Transformation - After a year of hard work, China Telecom Financial Company completed the reconstruction of its core system by the end of September this year [2] - The company aims to align with national requirements for a technology-driven financial system, focusing on principles such as professional service, digital intelligence, and compliance [2] - The transformation includes comprehensive changes in service models, customer service, management, and technological capabilities [2] System Development - The company identified issues with existing market products that did not meet its digital transformation needs, leading to the development of a fully self-controlled, intelligent financial core platform [3] - The new system addresses pain points such as technological dependency, rigid architecture, and insufficient security, integrating resources in software development, cloud, security, and quantum technology [3] Efficiency and Security Improvements - The new core system significantly enhances efficiency, reducing payment processing time from 3-5 minutes to just 10 seconds, achieving a 20-fold increase in efficiency [4] - The system's security has improved, allowing seamless switching between systems and achieving a business continuity capability rated at L6 [4] Business Model Innovation - The new system enables the company to innovate its business model, allowing for flexible combinations of financial products tailored to the needs of group member enterprises [4] - The company is also looking to extend its new system's capabilities to the broader financial company industry, engaging with over 50 financial companies regarding core system upgrades [4] Future AI Applications - The new system will support future AI applications, with plans to complete a "financial private cloud" by the end of 2026, establishing a comprehensive big data system for intelligent operations [5] - The company aims to explore deep applications of AI in financial scenarios, including intelligent risk control and advisory services, to enhance business transformation and productivity [6]