大数据时代下企业财务共享中心的建立与优化——以海尔为例

Yong Guo
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摘要

随着互联网技术的飞速发展,以“互联网+”为基础的技术创新已经在许多行业和领域得到了应用,对经济发展起到了至关重要的推动作用。大数据的发展加剧了经济全球化,集团公司的业务规模不断向各地区扩张,从国内向国外延伸的趋势更加明显,增加了集团对各分公司(子公司)财务控制的难度。要解决这一问题,需要集团企业加快推进财务转型升级,着力提升财务价值创造和业务支撑能力,有效控制财务和经营风险。研究和实践表明,实施财务共享服务取得了较为显著的效果。本文以海尔企业为案例进行研究分析,研究大数据环境下企业财务共享服务中心应用中存在的问题,深入分析问题产生的原因,并针对具体问题提出详细的解决方案和建议。本文以海尔财务共享服务中心为研究对象,研究了大数据技术环境下财务共享的优势与应用、各业务流程的具体操作、各财务管理模块的不足以及财务共享服务中心需要改进和优化的流程模块。并通过对海尔案例的深入分析,探索大数据背景下企业优化财务共享中心的理论方法和实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment and Optimization of Enterprise Financial Shared Center in the Era of Big Data–taking Haier as an Example
With the rapid development of Internet technology, the technological innovation based on "Internet+" has been applied in many industries and fields, which has played a vital role in promoting economic development. The development of big data has intensified economic globalization, the business scale of the group company continuously expands to all regions and the trend of extending from China to abroad is more obvious, increasing the difficulty in financial control of each branch (subsidiary) by the group. To solve the problem, the group enterprises are required to accelerate the promotion of financial transformation and upgrading, focus on enhancing financial value creation and business support capabilities and effectively control financial and operational risks. The research and practice show that the effect achieved by implementing financial sharing service is relatively remarkable. This paper takes Haier enterprise as a case for study and analysis, studies the problems in the application of enterprise Financial Shared Service Center under the big data environment, deeply analyzes the cause of the problem, and puts forward detailed solutions and suggestions for specific problems. With Haier's Financial Shared Service Center as the study object, this paper studies the advantage and application of financial sharing, the specific operation of each business process, the deficiencies of each financial management module and the process modules of the Financial Shared Service Center to be improved and optimized under the big data technology environment, and explores the theoretical methods and practical application value of enterprises optimizing the Financial Shared Center under the background of big data by deep analysis of Haier case.
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