Abstract: In this paper a planning approach for big data applications is studied in the grid supply chain. Through data cleaning, data diagnosing, business requirement survey and business process analysis, a series of big data applications are designed on the strategy level, management level and operation level respectively. Then based on the static analysis of the blueprint, typical business scenarios are selected to present dynamic analysis. By using qualitative assessment methods, all applications are divided into four priority levels in the aspects of practical value and data feasibility. Meanwhile, we utilize the analytic hierarchy process to perform quantitative evaluation. Based on both qualitative and quantitative evaluation results, phases of the plan and the sequence of implementation are established for big data applications.

Key words: power grid, supply chain, big data, management, plan