Research on Optimization of University Funding Decisions Driven by Big Data
With the rapid development of big data technology,university funding decisions are facing new opportunities and challenges.The article analyzes the current application status of big data in university funding decisions and explores the main paths for optimizing university funding decisions driven by big data.Research has found that big data can improve funding accuracy,optimize resource allocation,and achieve dynamic regulation,but at the same time,there are also issues such as data quality,privacy protection,and technological barriers.Therefore,the article proposes optimization suggestions such as building a multi-source data fusion platform,improving the funding evaluation system,and strengthening data security management,in order to provide reference for enhancing the scientific and effective decision-making of university funding.
big datauniversity fundingdecision optimizationprecise funding
万方数据
维普
