Abstract: In the context of carbon peaking and carbon neutrality strategy, for SINOPEC, the traditional index system has long feedback cycle and low level of data standardization, and often lacks specific data analysis for the reliability and accuracy of the index system, which leads to the failure of the index system to achieve the desired using effect. In order to solve above problems, this paper designed an index system platform, which integrated with multiple points of view of management, operation and optimizing.The system demo version and the background analysis modules of the reliability and validity through the domestic low code development tools—Tsinghua number for DWF in combination with the Python language were implemented. The test results showed that the operational efficiency of the SINOPEC index system could be effectively improved through the improvement and optimization of the auxiliary index system of data analysis. It would promote the scientific transformation and upgrading of enterprises and their high-quality development.

Key words: index system, digitalization, data analysis, reliability and validity, low code