Audit Analytics: A Framework for Control Enhancing Assurance - Rilegato

Khan, Arslan K.; Zimmer, Edward C.

Rilegato

ISBN 10: 1365154033 ISBN 13: 9781365154034

Casa editrice: Lulu.com, 2016

Riassunto

The authors, Arslan Khan and Edward Zimmer, demystify any perceived complexities in establishing a robust analytics control function. They provide a simple process to develop and implement an audit analytics strategy to meet the specific needs of organizations. This book provides practical approaches to using data analytics to enable continuous auditing to monitor the effectiveness of business controls. The authors' experience in developing data analytics that support an Internal Audit function can also be leveraged in other areas of the organization. Through the use of simple examples and practical tips, a framework for developing a sustainable audit analytics strategy is provided. Specific guidance is also provided regarding the talent, processes, and technology needed to move from your current state to the target environment. The business case has moved from "can the organization afford an audit analytics function" to "can an organization afford NOT to have an audit analytics function".

Dettagli dell'edizione

• Editore: Lulu.com
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1365154033
• ISBN 13: 9781365154034
• Rilegatura: Copertina rigida
• Numero di pagine: 238
• Contatto del produttore: non disponibile
• Persona responsabile: HACHETTE LIVRE SA; https://www.hachette.fr/; ; 1 AVENUE GUTENBERG; MAUREPAS CEDEX; 78319; Francia