Abstract: In recent years, how to build a reliable, high efficient, high-tech and environmental friendly distribution network infrastructure and service system, especially to accurately assess the reliability impact of various technical measures and establish optimal investment decision model for the future distribution network planning, has great theoretical and practical significance. In this paper, based on the sample data, the correlation mining methods of the technical paths and investment benefits, including data fitting method and neural network method, are applied to analyze the relationship between different types of technical paths and investment benefits. Through the comparison of different performance indicators of technical paths and investment benefits, the optimal technical paths can be chosen, and the data relationship based accurate investment decision model of distribution network planning can be built. Experimental result shows the accuracy and effectiveness of the presented methodology.