Cultivation of Data Analysis Skills for Business and Management Professionals Based on Knowledge Graph Reconstruction

In the post-pandemic era, the rapid development of online education has injected new vitality into higher education. However, during the teaching process, there are continuous signs of fragmentation of the knowledge system, formalization of online learning, utilitarianism of learning motivation, and rigidity of assessment forms. Therefore, the article advocates for the integration of various higher education information resource platforms, unblocking data silos, allowing students to autonomously combine learning resources, and mutual trust in the teaching process assessment information; advocates for reconstructing professional knowledge graphs from a macro perspective, dividing similar, similar, or even the same knowledge into levels and stages to gradually deepen and sublimate, scientifically and systematically inheriting the professional theoretical system; advocates for combining the concept of “outcome-oriented education” with real scenarios to meet the diverse and personalized needs of students, achieving the growth, talent development, and comprehensive development of each student.