KnE Social Sciences
ISSN: 2518-668X
The latest conference proceedings on humanities, arts and social sciences.
Tools to Identify Data Distortion in Information-Analytical Systems of Economic Subjects
Published date: Feb 15 2018
Journal Title: KnE Social Sciences
Issue title: III Network AML/CFT Institute International Scientific and Research Conference "FinTech and RegTech"
Pages: 561-566
Authors:
Abstract:
Today managers and end beneficiaries of economic actors invent new ways of distorting the information provided in the accounting and financial reporting, which jeopardizes the safety of assets and investments. Because motivation determines the distortion methods targeting fraudulent action, the objective of any regulatory bodies becomes a proper, rational and efficient use of appropriate tools and methodologies of detection of distortion in accounting and financial reporting. The author attempts to systematize and generalize the existing instruments, identifying their strengths and weaknesses for the formation of informational-analytical systems of economic security organizations and based on them to develop methodology of distortion detection subsystem data and indicators of economic information. In this regard, questions about tools to identify such distortions are relevant and will be revealed in this article.
Keywords: fraud, misrepresentation in reporting tools identify distortions information-analytical system, economic security
References:
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