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Continuous audit model: data integration framework

Title: Continuous audit model: data integration framework
Authors: Mauricio Mello Codesso; Paulo Caetano da Silva; Miklos A. Vasarhelyi; Rogério João Lunkes
Source: Revista Contemporânea de Contabilidade, Vol 15, Iss 34 (2018)
Publisher Information: Universidade Federal de Santa Catarina
Publication Year: 2018
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: Accounting. Bookkeeping; HF5601-5689
Description: The approximation of business areas with the use of new technologies, real-time savings, transactions with several countries and on several continents with different law guarantees are necessary. These warranties can be acquired through Continuous Audit (CA). However, to be able to perform the analysis the auditors need to have access and extract the data. Previous researchers only emphasis on the benefits of applying the CA methods, but do not explain how to retrieve and organize the data. The paper aims to contribute to the literature with the deepening of ways to access, structure and collect critical and necessary data for CA. With the deepening of Audit Data Standard and XBRL, as well as creating a basis for future research with the integration of extraction, analysis, and exception detection algorithms that are used by CA.
Document Type: article in journal/newspaper
Language: English; Spanish; Castilian; Portuguese
Relation: https://periodicos.ufsc.br/index.php/contabilidade/article/view/54855; https://doaj.org/toc/1807-1821; https://doaj.org/toc/2175-8069; https://doaj.org/article/2a31f2841bd34607ad918c4c06a01ed2
DOI: 10.5007/2175-8069.2018v15n34p144
Availability: https://doi.org/10.5007/2175-8069.2018v15n34p144; https://doaj.org/article/2a31f2841bd34607ad918c4c06a01ed2
Accession Number: edsbas.FB0D68C0
Database: BASE