Abstract

The era of big data has brought great changes to various industries, and the innovative application effect of big data-related technologies also shows obvious advantages. The introduction and application of big data technology in the audit field also become the future development trend. Compared with the traditional mode of audit work, the application of big data technology can help to achieve more ideal results, which needs to promote the adaptive transformation and adjustment of audit work. This paper makes a brief analysis of the application of big data technology in audit field, which first introduces the characteristics of big data and its technical application, and then points out the new requirements for audit work in the era of big data, and finally discusses how to apply the big data technology in the audit field, hoping that it can be used for reference.

Highlights

  • With the rapid development of information technology in today’s world, the amount of data information is getting larger and larger, which presents the characteristics of big data

  • This paper makes a brief analysis of the application of big data technology in audit field, which first introduces the characteristics of big data and its technical application, and points out the new requirements for audit work in the era of big data, and discusses how to apply the big data technology in the audit field, hoping that it can be used for reference

  • In the era of big data, the application of technologies related to audit work often needs to pay attention to data mining, which requires mining valuable clues from massive data information and significantly improving the speed of data mining and analysis to meet the characteristics of big data

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Summary

Introduction

With the rapid development of information technology in today’s world, the amount of data information is getting larger and larger, which presents the characteristics of big data. Big data refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain time. It is a massive, high-growth, diversified information asset that requires new processing models to have greater decision-making power, insight and process optimization capabilities. Under the background of big data development era, all walks of life should actively adapt to it in order to form a more positive change. Positive changes should be made, and proper and scientific integration of big data technology is an effective measurement, which deserves high attention. The application of big data technology in the field of audit is facing higher difficulties, for example, the development of audit software and the establishment of audit analysis model need to be effectively adjusted from multiple levels in order to give full play to the application value of big data technology

Overview of Big Data Technology
Change Audit Objectives
Change Audit Content
Change Audit Thinking
Change Audit Techniques
Data Mining Analysis
Real-Time Risk Warning
Multi-Domain Data Fusion
Build a Large Audit Team
Data Analysis Model and Audit Software Development
Cloud Audit
Risk Analysis of Big Data Audit
Data Analysis and Usage Risks
Data Management Risk
Conclusion
Full Text
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