Construction of a Practical Teaching Platform for DBE Financial Shared Service Centers Based on Big Data Technology

Abstract

With the widespread application of information technology in the field of education, financial shared service centers have accumulated a large amount of structured and unstructured data. The application of big data technology can effectively store, process, and perform multidimensional analysis on this massive data, discovering correlations among data to improve financial management and teaching quality. This paper designs and implements a practical teaching platform for DBE (Data-Based Education) financial shared service centers based on big data technology. The platform integrates data from multiple heterogeneous sources and uses technologies such as stream processing, data warehousing, and data mining to collect, process, and analyze financial data. The platform supports functions such as financial alerts, anomaly detection, and teaching effectiveness assessment. The research shows that this platform can make financial monitoring more intelligent, optimize teaching processes, and enhance teaching quality.