大数据环境下质量工程项目管理与研究

Management and Research of Quality Engineering Project in Big Data Environment

在我国当前的大数据环境下,传统的高等学校教育模式已经不能满足社会对数据信息化管理的要求,如何利用大量的数据信息教学资源进行高校质量工程建设,确保高校专业技术和管理体系的优化升级,已经成为当前高校质量工程管理的主要方向。本文从大数据环境基本概念、特征出发,分析了大数据环境下质量工程项目管理的机遇和挑战,并在此基础上提出了改进对策,为后期创新改进高校质量工程项目管理体系提供有益参考。

Under the current big data environment of China,traditional education in higher colleges can no longer meet the requirements of social data information management. How to make use of large amounts of data information of teaching resources for quality engineering construction of colleges and ensure the optimization and upgrading of professional technical and management system has become the main direction of current college quality engineering management. Starting from the basic concept of big data environment and its characteristics,this paper analyzes the big data quality project management under the environment of opportunities and challenges. Based on this,it comes up with some countermeasures for improvement,providing a beneficial reference for later innovation to improve the quality of engineering project management system.