Core Insights - The global chemical industry is accelerating its digital transformation under the "dual carbon" background, with precise benchmarking and intelligent analysis of production data becoming key to enhancing competitiveness and improving cost control and operational efficiency [1] Group 1: Digital Transformation in Chemical Industry - The intelligent benchmarking platform developed by the State Energy Group's Digital Technology Company automates the entire process from data collection to benchmarking analysis, incorporating AI for deep data mining and real-time assessment [1][2] - The system has been deployed across 13 chemical production enterprises under the State Energy Group, covering core business sectors such as coal-to-oil and coal chemical [1] - The platform integrates 43 standardized benchmarking indicators and over 2000 basic indicators, achieving a data automatic collection rate of 92% [1] Group 2: Data Governance and Integration - The chemical industry faces challenges such as inconsistent data standards and fragmented information, which hinder benchmarking efficiency and accuracy [2] - The new system establishes precise data acquisition rules and automates data collection from multiple systems, addressing issues of data lag, fragmentation, and standardization [2] - The time required to compile annual benchmarking reports has been reduced from two to three months to approximately one week, resulting in a nearly 90% efficiency improvement [2] Group 3: Enhanced Decision-Making - The system transforms complex data into dynamic interactive charts, allowing management to easily compare operational data across production units and track historical performance [3] - The intelligent benchmarking system enhances decision-making speed and accuracy by providing a comprehensive data-driven perspective, supporting proactive management and optimization [5] - The integration of the system with MES and ERP creates a complete intelligent decision-making ecosystem, facilitating a shift from experience-based to algorithm-driven decision-making [4][5]