摘 要
随着信息技术的迅猛发展，大数据技术为企业财务预算管理带来了新的机遇与挑战。在传统财务预算管理模式下，企业面临数据处理能力有限、预测精度不足等问题，难以适应复杂多变的市场环境。本研究旨在探讨大数据技术如何赋能企业财务预算管理，通过构建基于大数据分析的财务预算管理体系，提升预算编制的科学性和准确性。研究采用文献分析法梳理国内外相关研究成果，结合案例分析法深入剖析典型企业在应用大数据技术进行财务预算管理中的实践经验，同时运用实证研究方法验证大数据技术对企业财务预算管理效能的积极影响。结果表明，大数据技术能够整合海量多源异构数据，挖掘潜在价值信息，实现对市场趋势和经营状况的精准预测，优化资源配置，提高决策效率。
关键词：大数据技术 财务预算管理 数据整合
Abstract
With the rapid development of information technology, big data technology has brought new opportunities and challenges for enterprise financial budget management. Under the traditional financial budget management mode, enterprises are faced with problems such as limited data processing capacity and insufficient prediction accuracy, and it is difficult to adapt to the complex and changeable market environment. The purpose of this study is to discuss how big data technology can empower enterprise financial budget management, and improve the scientificity and accuracy of budgeting by building a financial budget management system based on big data analysis. The research uses the literature analysis method to sort out the relevant research results at home and abroad, combined with the case analysis method to deeply analyze the practical experience of typical enterprises in the application of big data technology to conduct financial budget management, and uses the empirical research method to verify the positive impact of big data technology on the efficiency of financial budget management of enterprises. The results show that big data technology can integrate massive multi-source heterogeneous data, mine potential value information, realize accurate prediction of market trend and business conditions, optimize resource allocation, and improve decision-making efficiency.
Keyword:Big Data Technology Financial Budget Management Data Integration
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与思路 2
2大数据技术对企业财务预算管理的影响 2
2.1数据获取与预处理 2
2.2预算编制的精准化 3
2.3预算执行的动态监控 3
3大数据技术在企业财务预算管理中的应用模式 4
3.1基于大数据的预测模型构建 4
3.2数据驱动的决策支持系统 5
3.3企业资源优化配置 5
4大数据技术实施中的挑战与对策 6
4.1技术融合与系统集成 6
4.2数据安全与隐私保护 6
4.3人员培训与组织变革 7
结论 8
参考文献 9
致谢 10
随着信息技术的迅猛发展，大数据技术为企业财务预算管理带来了新的机遇与挑战。在传统财务预算管理模式下，企业面临数据处理能力有限、预测精度不足等问题，难以适应复杂多变的市场环境。本研究旨在探讨大数据技术如何赋能企业财务预算管理，通过构建基于大数据分析的财务预算管理体系，提升预算编制的科学性和准确性。研究采用文献分析法梳理国内外相关研究成果，结合案例分析法深入剖析典型企业在应用大数据技术进行财务预算管理中的实践经验，同时运用实证研究方法验证大数据技术对企业财务预算管理效能的积极影响。结果表明，大数据技术能够整合海量多源异构数据，挖掘潜在价值信息，实现对市场趋势和经营状况的精准预测，优化资源配置，提高决策效率。
关键词：大数据技术 财务预算管理 数据整合
Abstract
With the rapid development of information technology, big data technology has brought new opportunities and challenges for enterprise financial budget management. Under the traditional financial budget management mode, enterprises are faced with problems such as limited data processing capacity and insufficient prediction accuracy, and it is difficult to adapt to the complex and changeable market environment. The purpose of this study is to discuss how big data technology can empower enterprise financial budget management, and improve the scientificity and accuracy of budgeting by building a financial budget management system based on big data analysis. The research uses the literature analysis method to sort out the relevant research results at home and abroad, combined with the case analysis method to deeply analyze the practical experience of typical enterprises in the application of big data technology to conduct financial budget management, and uses the empirical research method to verify the positive impact of big data technology on the efficiency of financial budget management of enterprises. The results show that big data technology can integrate massive multi-source heterogeneous data, mine potential value information, realize accurate prediction of market trend and business conditions, optimize resource allocation, and improve decision-making efficiency.
Keyword:Big Data Technology Financial Budget Management Data Integration
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法与思路 2
2大数据技术对企业财务预算管理的影响 2
2.1数据获取与预处理 2
2.2预算编制的精准化 3
2.3预算执行的动态监控 3
3大数据技术在企业财务预算管理中的应用模式 4
3.1基于大数据的预测模型构建 4
3.2数据驱动的决策支持系统 5
3.3企业资源优化配置 5
4大数据技术实施中的挑战与对策 6
4.1技术融合与系统集成 6
4.2数据安全与隐私保护 6
4.3人员培训与组织变革 7
结论 8
参考文献 9
致谢 10
