Project Quality Risk Identification and Assessment Strategy Analysis

Abstract

In the current context of increasingly fierce market competition, project quality has become an important factor for modern enterprises to improve their own competitiveness, and whether the project is successful or not. But there are so many uncertainties― project quality risks―in all stages of the project's life cycle. Neglecting the identification and management of these risks may lead to severe, even irreversible consequences. This paper first explains the importance of project quality risk identification and evaluation. It then examines the theoretical foundations and limitations of existing mainstream project quality risk identification strategies and evaluation methods. Finally, this includes the introduction of big data analytics to enhance the accuracy of risk identification. It makes some improvements and optimizations to solve the shortcomings of mainstream exams. to improve the scientific nature, the adaptability, and the decision credibility of risk management, and to gradually form a more intelligent, dynamic, and integrative project's quality risk management system, provide assurance for project success.