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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">68</journal-id>
      <journal-title-group>
        <journal-title>当代经济论坛</journal-title>
        <abbrev-journal-title>Contemporary Economic Forum</abbrev-journal-title>
      </journal-title-group>
      <publisher>
        <publisher-name>睿核出版社有限公司</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">16021</article-id>
      <title-group>
        <article-title>大数据时代审计数据分析模型构建与应用策略</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>彭启民</string-name>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <year>2025</year>
        <month>6</month>
      </pub-date>
      <issue>6</issue>
      <abstract>
        <p>在大数据时代，审计工作面临着数据量激增、数据类型复杂等挑战。本文深入探讨审计数据分析模型构建与应用的策略，通过创新多源异构数据融合、融合新兴前沿技术以及完善全流程质量管控体系等手段，旨在提升审计效率、精准识别风险并支撑审计决策，推动审计工作在大数据背景下实现高质量发展。</p>
      </abstract>
    </article-meta>
  </front>
</article>
