Research on Application of Big Data Technology in University Internal Auditing

DOI

10.2991/meita-16.2017.90How to use a DOI?

Keywords

Research, Application, Big Data Technology, University Internal Auditing

Abstract

Taking information technology means and using big data thinking to improve the quality and efficiency of audit has become the development trend of China's audit practice. The paper analyzes the problems existing in the audit of economic responsibility in colleges and universities, such as weak audit power, backward audit methods and tools, and weak audit independence. With the help of big data thinking and advanced technology, the system is divided into three parts: system and business management, data collection, project implementation. The five modules of audit analysis put forward the information system structure and operation mechanism of university economic responsibility auditing in the big data era. It provides a reference for the new-type information tools such as big data and cloud computing.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jie Yang
PY  - 2017/02
DA  - 2017/02
TI  - Research on Application of Big Data Technology in University Internal Auditing
BT  - Proceedings of the 2016 2nd International Conference on Materials Engineering and Information Technology Applications (MEITA 2016)
PB  - Atlantis Press
SP  - 432
EP  - 435
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-16.2017.90
DO  - 10.2991/meita-16.2017.90
ID  - Yang2017/02
ER  -