Journal of Data Science and Modeling

A New Approach Based on Business Intelligence and Bayesian Network for Analysis of Corporate Accounting Systems

Document Type : Research Manuscript

Authors

azar ghyasi 1
hanieh rashidi 2

1 Azar Ghyasi, Department of Mathematics, Faculty of mathematics, statistics and Computer Science,Allameh Tabataba’i University , Tehran, Iran

2 Graduate Student of Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran

https://doi.org/10.22054/jcsm.2022.69949.1033
Abstract
Due to the inherent complexity and increasing competition, today's business environment requires new approaches in organizing and managing. One of the new approaches is business intelligence, which is the most critical technology to help manage and deliver smart services, especially business reporting. Business intelligence enables firms to manage their business efficiently to meet the needs of businesses at different macro, middle and even operations levels. In this paper, while investigating the feasibility of implementing business intelligence in firms, designing business intelligence to report and present new services is discussed. In order to demonstrate the capabilities of this type of intelligence, an approach based on the concept of Bayesian network in the application layer of business intelligence is presented. This approach is implemented for one of the companies governed by the Iranian Industrial Development and Renovation Organization, and the effects of important accounting and financial variables on the firm goals are investigated.

Keywords

Business Intelligence
Business Networks
Decision Support System
Business
Journal of Data Science and Modeling
Volume 2, Issue 1 - Serial Number 3
December 2023
Pages 21-37

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