Procedure-oriented University Digital Admissions System under Big Data Environment

摘要

In order to solve the current college admission work problems like workload focus, department coordination problems, and low artificial statistical efficiency, on the basis of college admissions requirements analysis, this paper proposes the use of big data to collect admission work data in each link through information system, and real-time generate statistical analysis of information, which will provide a scientific basis for decision makers. The paper analyzes the overall demand of the system, builds system function structure, and uses .net development platform to realize the system. The system running results show that admission propaganda is in place with accurate real-time data statistics, which effectively reduces manual workload and has very strong practicability.