Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)

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Automatic Correction Method of ERP Data Entry Errors Based on Big Data

Authors
Qinlan Wu1, *, Xijian Chao1
1Jiangxi University of Engineering University Xinyu, Jiangxi, 338025, China
*Corresponding author. Email: 273123375@qq.com
Corresponding Author
Qinlan Wu
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-056-5_12How to use a DOI?
Keywords
big data; ERP; business management; promotion of information technology; Error correction
Abstract

ERP (Enterprise Resource Planning) refers to the use of advanced management ideas and methods and standardized processes and data on the basis of information technology to integrate the resources owned by the enterprise, and finally achieve the purpose of optimal allocation of enterprise resources and business process optimization. ERP can improve the information level and resource allocation efficiency of enterprises. It is a management means that most modern enterprises will adopt. In order to further improve the accuracy and timeliness of enterprise resource management data entry, today's enterprises are considering introducing big data technology into ERP to realize the automatic correction of ERP data entry errors. Starting from the analysis of the current development status of ERP, this paper finds the shortcomings of the ERP system adopted in the enterprise, then puts forward the basic framework and specific application methods of using big data technology to transform the ERP system, and finally puts forward some suggestions on the operation and maintenance of the enterprise ERP system, hoping to improve the efficiency of enterprise resource management, Reduce the error rate of enterprise management data entry.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
978-94-6463-056-5
ISSN
2589-4900
DOI
10.2991/978-94-6463-056-5_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qinlan Wu
AU  - Xijian Chao
PY  - 2022
DA  - 2022/12/29
TI  - Automatic Correction Method of ERP Data Entry Errors Based on Big Data
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 75
EP  - 80
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_12
DO  - 10.2991/978-94-6463-056-5_12
ID  - Wu2022
ER  -