论文总字数：29530字

摘 要

随着一些民营高新技术的应用如企业大数据等信息技术的不断变化和发展，大数据逐渐成为企业可以广泛应用并且已经涉及到企业的生产经营方方面面的技术。大数据可以有效帮助企业更加准确地识别财务风险并为企业提前防范财务风险，因此企业也越来越多的高度重视其大数据技术的推广和应用。随着企业大数据信息化时代的进一步来临，企业在进行财务管理的过程中需要面对巨大的财务数据和信息量，同时也给企业引发了很多新型企业财务的风险问题比如财务数据的泄露等等，因此企业财务风险的管控已经逐渐成为民营高新企业当今最为关注和重视的财务管理问题，只有防控好财务风险才能保持企业的可持续发展。近年来，越来越多的民营高新企业已经创立并且大部分为中小规模。在大数据信息化时代中，这些民营高新企业会可能会受到更大的财务风险冲击，本文选取S公司作为典型的民营高新企业之一进行分析。

本文在进行分析过程中，主要是采用文献研究法、案例分析法以及将定量分析与定性分析有机结合在一起的相关方法。第一部分为本文的绪论部分，主要对本文研究背景与研究意义进行针对性阐述；第二部分对相关理论基础进行针对性分析，主要结合实际情况，对财务风险以及大数据相关定义与特点进行研究，然后对企业财务风险管理所可能受到的关于财务大数据的限制和影响因素进行了分析；第三部分是具体的案例分析，根据对比分析法对大数据背景下S企业所面临的各种财务风险进行识别和分析，然后根据分析的结果进一步提出S企业所面临的财务风险管控的普遍性问题。第四部分为大数据背景下民营高新企业所适用的财务风险应对策略，通过分析S企业普遍性问题，提出企业相应的财务风险应对措施如利用大数据技术进行预测和分析竞争环境，然后通过大数据技术重构企业财务风险管理模式和完善企业财务风险预警系统，从而使企业更加及时地有效地应对风险；第五部分主要是本文的结论和问题研究的局限性。对本文的内容进行了归纳和分析总结，并进一步提出本文的不足和对后续深入研究的建议和展望。

关键词：大数据；民营高新企业；财务风险识别；财务风险管控

Abstract

With the continuous changes and development of some private high-tech applications such as enterprise big data and other information technologies, big data has gradually become a technology that can be widely used by enterprises and has involved all aspects of the company's production and operation. Big data can effectively help companies identify financial risks more accurately and prevent financial risks in advance for enterprises. Therefore, companies are also paying more and more attention to the promotion and application of their big data technologies. With the advent of the era of big data informatization in enterprises, companies need to face huge amounts of financial data and information in the process of financial management, and at the same time, they have caused many new types of corporate financial risk issues such as the leakage of financial data. Therefore, the management and control of corporate financial risk has gradually become the most concerned and important financial management issue of private high-tech enterprises today. Only by preventing and controlling financial risk can the sustainable development of enterprises be maintained. In recent years, more and more private high-tech enterprises have been established and most of them are small and medium-sized. In the era of big data informatization, these private high-tech enterprises may be affected by greater financial risks. In this paper, S company is selected as one of the typical private high-tech enterprises for analysis.

In the analysis process of this article, it mainly adopts the literature research method, case analysis method and related methods that organically combine quantitative analysis and qualitative analysis. The first part is the introduction of this article, which mainly explains the research background and significance of this article; the second part analyzes the relevant theoretical basis, mainly combining the actual situation, and researches the definition and characteristics of financial risk and big data Then, it analyzes the limitations and influencing factors of financial big data that the company's financial risk management may be subjected to; the third part is a specific case analysis, according to the comparative analysis method for various financial issues faced by S enterprises under the background of big data. Identify and analyze the risks, and then, based on the results of the analysis, further raise the general issues of financial risk management and control faced by S companies. The fourth part is the financial risk response strategy applicable to private high-tech enterprises in the context of big data. By analyzing the general problems of S enterprises, the corresponding financial risk response measures of the enterprise are proposed, such as the use of big data technology to predict and analyze the competitive environment. Data technology reconstructs the enterprise's financial risk management model and improves the enterprise's financial risk early warning system, so that enterprises can respond to risks in a more timely and effective manner; the fifth part is mainly the conclusions of this article and the limitations of the problem research. The contents of this article are summarized, analyzed and summarized, and the deficiencies of this article and suggestions and prospects for further in-depth research are further put forward.

Key Words：Big data; Private high-tech enterprises; Financial risk identification; Financial risk control

目录

第1章 绪论 1

1.1研究目的及意义 1

1.1.1 研究目的 1

1.1.2 研究意义 2

1.2 国内外研究现状 2

1.2.1 国外研究现状 2

1.2.2 国内研究现状 3

1.3 研究内容与研究方法 4

1.3.1 研究内容 4

1.3.2 研究方法 5

第2章 相关理论概述 7

2.1民营高新企业概述 7

2.1.1 民营高新企业的界定 7

2.1.2 民营高新企业的特点 7

2.2财务风险的相关理论 8

2.2.1 财务风险的界定 8

2.2.2 财务风险的种类 8

2.2.3 财务风险的特征 9

2.3 大数据的相关理论 9

2.3.1 大数据的内涵 9

2.3.2 大数据的特征 10

2.4 大数据环境对财务风险管理的影响 10

2.4.1 大数据环境下财务风险管理的特点 10

2.4.2 风险识别方法的转变 11

2.4.3 风险防控对策的调整 11

第3章 S公司财务风险分析 12

3.1 S公司基本情况 12

3.1.1 S公司简介 12

3.1.2 S公司财务状况 12

3.2 大数据背景下S公司财务风险源分析 13

3.2.1 内部风险源分析 13

3.2.2 外部风险源分析 14

3.3 大数据背景下S公司财务风险识别 14

3.3.1 投资风险识别 14

3.3.2 筹资风险识别 16

3.3.3 经营风险识别 18

3.3.4 现金流量风险识别 19

3.4 大数据背景下S公司财务风险管控存在的问题 20

3.4.1 财务风险识别体系不完善 20

3.4.2 缺乏新型财务风险管控体系 20

3.4.3 缺乏相关的大数据财务管理人才 21

第4章 大数据背景下民营高新企业财务风险应对策略 23

4.1 基于大数据建立企业竞争情报系统 23

4.1.1 企业竞争情报系统的作用 23

4.1.2 数据挖掘技术的应用 23

4.2 基于大数据重构企业财务管理模式 24

4.2.1 更新完善财务风险管控体系 24

4.2.2 加强企业财务信息化建设 24

4.3 基于大数据建立企业财务风险预警系统 25

4.3.1 企业财务风险预警的内容 25

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