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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v9i11.12886</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Analysis on the Informatization Construction of Financial Management in Colleges and Universities under the Background of Big Data</title><url>https://artdesignp.com/journal/JCER/9/11/10.26689/jcer.v9i11.12886</url><author>PangYu</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>11</issue><history><date date-type="pub"><published-time>2025-12-08</published-time></date></history><abstract>With the development of the current era, China’s Internet and computer technologies are constantly updated and improved. Under the application of information technology, great changes have taken place in the financial management work of schools. At present, the content of school financial management work is constantly increasing. In order to meet the needs of school management, it is necessary to improve the level of financial management, strengthen the informatization construction of financial management, so as to realize the modernization of school financial management and improve the efficiency of financial management. Big data technology and information technology can realize the rapid collection and preprocessing of information, achieve in-depth mining of data value, assist staff in quickly identifying problems in their work, and further improve work efficiency. 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