Based on the existing big data platform, improve or optimize the architecture of the existing big data platform, supplement the missing big data tools, and build a complete big data basic software platform needed for college big data operation, including data collection, data governance, and big data storage.
Establish a Data Resource Pool

collection and sorting, and establish a scientific college big data resource system to ensure a solid data foundation for the analysis and application of the college big data platform in the later stage.

Form a data quality report during the governance of the data resource pool, and control data quality from the data source. Generate quality reports for the data quality of each business system, and further optimize the data quality of the college data resource pool.

Establish data mining analysis and visualization and big data O&M management subsystems, etc., and build a complete college big data platform architecture and rich big data platform tools.

In the construction of the smart campus platform, internet data is collected through crawlers in the data source, so as to realize multi-dimensional supplementation of college data in the later construction, making data analysis and application more accurate and comprehensive.

Analyze the specific needs of the college big data platform from the macro, meso, and micro levels, build three major functional modules such as college security operation monitoring, faculty performance evaluation, and college operation prediction and decision support, optimize the existing overall operation of the college, complete the in-depth analysis of college education indicators, realize some application analysis for the overall situation of school teachers and students, and provide decision and dispatch support for relevant departments.