大数据思维背景下财务数据挖掘及应用  

Financial Data Mining and Application under the Background of Big Data Thinking

作　　者：林湛雄 LIN Zhanxiong(Zhanjiang Preschool Normal College,Zhanjiang 524084,China)

机构地区：[1]湛江幼儿师范专科学校,广东湛江524084

出　　处：《数字通信世界》2024年第4期158-160,共3页Digital Communication World

摘　　要：随着科技的发展,大数据在财务领域的应用越来越广泛。利用大数据技术,企业能够收集和处理海量的财务数据,从而提取出有价值的信息。例如,通过数据挖掘技术,企业可以对财务数据进行深度分析,以便预测未来的财务趋势,制定更加有效的策略。此外,大数据还可以用于实时监控企业的财务状况,及时发现和处理潜在的风险。总的来说,大数据的应用使得企业的财务管理更加科学、精准和高效。With the development of science and technology,the application of big data in the field of finance is more and more extensive.With big data technology,companies are able to collect and process massive amounts of financial data to extract valuable information.For example,through data mining technology,enterprises can conduct in-depth analysis of financial data in order to predict future financial trends and make more effective decisions.In addition,big data can also be used to monitor the financial situation of an enterprise in real time to detect and deal with potential risks in a timely manner.In general,the application of big data makes the financial management of enterprises more scientific,accurate and efficient.

关 键 词：大数据思维 财务数据 挖掘及应用 

分 类 号：F275[经济管理—企业管理] TP3[经济管理—国民经济]