| Issue |
MATEC Web Conf.
Volume 100, 2017
13th Global Congress on Manufacturing and Management (GCMM 2016)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 6 | |
| Section | Part 5: Management Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201710005001 | |
| Published online | 08 March 2017 | |
Application and research on business intelligence in audit business
1 Renmin University of China, China
2 Beijing Information Science & Technology University, China
3 University of Pittsburgh, America
a chelei@bistu.edu.cn
b yang@ruc.edu.cn
c ramily_jf@outlook.com
With audit data requirements, taking for example the audit data of construction industry, the audit data integration requirements are analyzed and application architecture of business intelligence technology in the audit business is put forward. The modeling process and the populating process of data warehouse are detailed, and the scheme of data pre-processing is set out. The report display methods are proposed, such as proportion chart, tendency chart, index plots and etc. The application model and value of business intelligence technology in audit business are analyzed, which is based on data mining technology such as outlier detection. This research has been applied to National Twelfth Five-Year Plan Science and Technology Support Program and has achieved better analysis and prediction of audit.
Key words: Business intelligence / Audit business / Data warehouse / Multidimensional data analysis
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.