通过数据梳理诊断、业务需求调查、业务流程分析,分别在企业战略层面、管理层面、执行层面上设计出一系列大数据应用方案.在蓝图静态化分析的基础上,甄选典型业务场景,进行动态化的大数据应用场景分析.运用定性评估方法,从应用价值和数据可行性2个维度,将应用方案划分为4个优先级别.同时运用层次分析法对方案进行定量评价排序.基于定性评估和定量评价分析的结果,最终确立电网企业供应链大数据应用的阶段性规划,并确定所有大数据应用方案的优先级别和落实实施顺序.%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.
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