电网企业采购大数据多维分析需求及应用研究

Research on Demand and Application of Multi-Dimensional Analysis of Procurement Big Data for Power Grid Enterprises

摘要: 随着电子化招投标的普遍实施，招投标平台承载了大量招标采购数据，包括采购价格数据、采购结果数据、采购目录、供应商基本信息数据、招投标行为数据、采购全流程数据等。面对平台内大量且持续增长的采购数据，电网企业对于数据的管理有待进一步优化提升，对于数据的价值应用场景亦有待探索挖掘。本文基于大数据分析与挖掘技术，对平台内采购数据进行多维分析，以目标和价值为导向设计多维应用蓝图，针对不同的主体搭建应用场景池，最终构造评估矩阵模型对多维数据场景应用进行评估，明确场景主题的应用价值度、开发便捷度以及开发优先级。

Abstract: With the widespread implementation of electronic bidding, the bidding platform carries a large amount of bidding and procurement data, including procurement price data, procurement result data, procurement catalog, supplier basic information data, bidding behavior data, and procurement process data, etc. Facing the massive and continuously growing procurement data in the platform, the management of data needs to be further optimized and improved, and the value application scenarios of data need to be explored and mined. Based on big data analysis and mining technology, this paper conducts multi-dimensional analysis of procurement data in the platform, designs multi-dimensional application blueprints based on goals and values, builds application scenario pools for different subjects, and finally constructs an evaluation matrix model to evaluate multi-dimensional data scenario applications. The evaluation matrix model evaluates the application value, development convenience and development priority of the scene theme.