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

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.