Core Viewpoint - In the era of innovation-driven development, R&D investment management is crucial for maintaining competitiveness, and the introduction of the "Chain + Data" R&D expense management system is transforming traditional challenges in this area [1] Group 1: Solidified Processes - Traditional R&D expense management relies on manual operations, leading to issues such as process skipping and unauthorized access. The "Chain + Data" system standardizes these processes within the system, ensuring compliance with preset rules for every expense application, approval, and reimbursement [3] Group 2: Transparent Data - The "Chain + Data" system utilizes blockchain technology to ensure data transparency and traceability, recording every R&D expense's details. This creates a complete data chain accessible to project leaders, financial personnel, and internal audit departments, thus eliminating information silos and opportunities for fraud [4] Group 3: Intelligent Monitoring - The system incorporates intelligent monitoring that shifts from passive auditing to proactive risk warning. It uses big data analysis to monitor R&D expenses in real-time, identifying anomalies such as budget overruns and misclassified expenses, and alerts management promptly [5] Group 4: Decision Support - The "Chain + Data" system provides data-driven decision support by generating visual reports on R&D investment returns. This helps management identify efficient R&D areas and optimize resource allocation, ensuring that internal controls empower innovation [6]

Core Insights - The article discusses the challenges faced by CFOs and technical executives in tracking R&D expenditures and the introduction of a blockchain-based R&D expense management system aimed at transforming R&D spending from a cost center to a value driver [1] Group 1: Efficiency Value - Blockchain technology ensures transparency in R&D expenses, allowing for traceability from application to payment, thus reducing audit and compliance costs [3] - Smart contracts automate processes such as reimbursement standards and budget alerts, significantly reducing reimbursement cycles and enhancing productivity [3] - The system aggregates R&D expenses across projects and departments, generating real-time multidimensional reports to allow finance personnel to focus on value analysis [3] Group 2: Decision Value - The system provides precise cost insights by breaking down expenses by project, team, and technology module, helping managers identify high-performing projects and resource drains [3] - It integrates with project management systems and market data to create an "input-output-benefit" analysis model, quantifying R&D ROI for informed investment decisions [3][4] Group 3: Strategic Value - The system offers a comprehensive view of resource consumption and value output across R&D directions, aligning resources with corporate strategies [5] - It facilitates collaboration across departments and external partners by providing a basis for settlement and value distribution, enhancing open innovation [5] - The transparent data fosters a decision-making culture focused on value creation rather than budget consumption, driving efficiency and innovation [5]