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There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.
Book Synopsis Data Analytics for Internal Auditors by : Richard E. Cascarino
Download or read book Data Analytics for Internal Auditors written by Richard E. Cascarino and published by CRC Press. This book was released on 2017-03-16 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.
This book is about how to reduce large data sets down to the critical few high-risk subsets.
Book Synopsis Data Analysis and Sampling Simplified by : Donald A. Dickie
Download or read book Data Analysis and Sampling Simplified written by Donald A. Dickie and published by . This book was released on 2019-08-29 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about how to reduce large data sets down to the critical few high-risk subsets.
Book Synopsis Data Analytics by : Warren W. Stippich
Download or read book Data Analytics written by Warren W. Stippich and published by . This book was released on 2016 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:
For internal auditors, developing trends in data analysis and data science can feel less like a wealth of information and more like an avalanche. Still, better use of data provides an opportunity to advance your career by adopting new, invaluable skills. The missing link? Jargon-free guidance that cuts through the hype. The Data-Confident Internal Auditor demystifies the use of data in internal audits through practical, step-by-step guidance. With concepts and tools that are easy to understand and apply, this comprehensive guide shows you how to approach data yourself, without having to wait on data scientists or technical experts. Developed over the course of hundreds of actual audits, these real-world approaches and practices are distilled into a simple sequence of steps that will leave you feeling confident and even eager to apply them for yourself. Pick up The Data-Confident Internal Auditor and start building your data skills today.
Book Synopsis The Data-Confident Internal Auditor by : Yusuf Moolla
Download or read book The Data-Confident Internal Auditor written by Yusuf Moolla and published by Lioncrest Publishing. This book was released on 2021-12-07 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: For internal auditors, developing trends in data analysis and data science can feel less like a wealth of information and more like an avalanche. Still, better use of data provides an opportunity to advance your career by adopting new, invaluable skills. The missing link? Jargon-free guidance that cuts through the hype. The Data-Confident Internal Auditor demystifies the use of data in internal audits through practical, step-by-step guidance. With concepts and tools that are easy to understand and apply, this comprehensive guide shows you how to approach data yourself, without having to wait on data scientists or technical experts. Developed over the course of hundreds of actual audits, these real-world approaches and practices are distilled into a simple sequence of steps that will leave you feeling confident and even eager to apply them for yourself. Pick up The Data-Confident Internal Auditor and start building your data skills today.
The explosion of data analytics in the auditing profession demands a different kind of auditor. Auditing: A Practical Approach with Data Analytics prepares students for the rapidly changing demands of the auditing profession by meeting the data-driven requirements of today’s workforce. Because no two audits are alike, this course uses a practical, case-based approach to help students develop professional judgement, think critically about the auditing process, and develop the decision-making skills necessary to perform a real-world audit. To further prepare students for the profession, this course integrates seamless exam review for successful completion of the CPA Exam.
Book Synopsis Auditing by : Raymond N. Johnson
Download or read book Auditing written by Raymond N. Johnson and published by Wiley Global Education. This book was released on 2019-05-20 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The explosion of data analytics in the auditing profession demands a different kind of auditor. Auditing: A Practical Approach with Data Analytics prepares students for the rapidly changing demands of the auditing profession by meeting the data-driven requirements of today’s workforce. Because no two audits are alike, this course uses a practical, case-based approach to help students develop professional judgement, think critically about the auditing process, and develop the decision-making skills necessary to perform a real-world audit. To further prepare students for the profession, this course integrates seamless exam review for successful completion of the CPA Exam.
This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effective audit program; and more. Today, information technology plays a pivotal role in financial control and audit: most financial data is now digitally recorded and dispersed among servers, clouds and networks over which the audited firm has no control. Additionally, a firm’s data—particularly in the case of finance, software, insurance and biotech firms—comprises most of the audited value of the firm. Financial audits are critical mechanisms for ensuring the integrity of information systems and the reporting of organizational finances. They help avoid the abuses that led to passage of legislation such as the Foreign Corrupt Practices Act (1977), and the Sarbanes-Oxley Act (2002). Audit effectiveness has declined over the past two decades, as auditor skillsets have failed to keep up with advances in information technology. Information and communication technology lie at the core of commerce today and are integrated in business processes around the world. This book is designed to meet the increasing need of audit professionals to understand information technology and the controls required to manage it. This 2nd edition includes updated code and test. Machine learning, AI, and SEC’s EDGAR data are also, improved and updated. The material included focuses on the requirements for annual Securities and Exchange Commission audits (10-K) for listed corporations. These represent the benchmark auditing procedures for specialized audits, such as internal, governmental, and attestation audits. Many examples reflect the focus of the 2024 CPA exam, and the data analytics-machine learning approach will be central to the AICPA’s programs, in the near future.
Book Synopsis Audit Analytics by : J. Christopher Westland
Download or read book Audit Analytics written by J. Christopher Westland and published by Springer. This book was released on 2024-03-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, using R and RStudio, demonstrates how to render an audit opinion that is legally and statistically defensible; analyze, extract, and manipulate accounting data; build a risk assessment matrix to inform the conduct of a cost-effective audit program; and more. Today, information technology plays a pivotal role in financial control and audit: most financial data is now digitally recorded and dispersed among servers, clouds and networks over which the audited firm has no control. Additionally, a firm’s data—particularly in the case of finance, software, insurance and biotech firms—comprises most of the audited value of the firm. Financial audits are critical mechanisms for ensuring the integrity of information systems and the reporting of organizational finances. They help avoid the abuses that led to passage of legislation such as the Foreign Corrupt Practices Act (1977), and the Sarbanes-Oxley Act (2002). Audit effectiveness has declined over the past two decades, as auditor skillsets have failed to keep up with advances in information technology. Information and communication technology lie at the core of commerce today and are integrated in business processes around the world. This book is designed to meet the increasing need of audit professionals to understand information technology and the controls required to manage it. This 2nd edition includes updated code and test. Machine learning, AI, and SEC’s EDGAR data are also, improved and updated. The material included focuses on the requirements for annual Securities and Exchange Commission audits (10-K) for listed corporations. These represent the benchmark auditing procedures for specialized audits, such as internal, governmental, and attestation audits. Many examples reflect the focus of the 2024 CPA exam, and the data analytics-machine learning approach will be central to the AICPA’s programs, in the near future.
This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
Book Synopsis Intelligent Systems and Applications by : Kohei Arai
Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on 2021-08-02 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading experts across the profession and academia. The guide defines audit data analytics as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for planning or performing the audit.” Simply put, ADAs can be used to perform a variety of procedures to gather audit evidence. Each chapter focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit. Suggested considerations for assessing the reliability of data are also included in a separate appendix.
Book Synopsis Guide to Audit Data Analytics by : AICPA
Download or read book Guide to Audit Data Analytics written by AICPA and published by John Wiley & Sons. This book was released on 2018-02-21 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading experts across the profession and academia. The guide defines audit data analytics as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for planning or performing the audit.” Simply put, ADAs can be used to perform a variety of procedures to gather audit evidence. Each chapter focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit. Suggested considerations for assessing the reliability of data are also included in a separate appendix.
Internal Audit: Efficiency Through Automation teaches state-of-the-art computer-aided audit techniques, with practical guidelines on how to get much needed data, overcome organizational roadblocks, build data analysis skills, as well as address Continuous Auditing issues. Chapter 1 CAATTs History, Chapter 2 Audit Technology, Chapter 3 Continuous Auditing, Chapter 4 CAATTs Benefits and Opportunities, Chapter 5 CAATTs for Broader Scoped Audits, Chapter 6 Data Access and Testing, Chapter 7 Developing CAATT Capabilities, Chapter 8 Challenges for Audit,
Book Synopsis Internal Audit by : David Coderre
Download or read book Internal Audit written by David Coderre and published by John Wiley & Sons. This book was released on 2008-12-22 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internal Audit: Efficiency Through Automation teaches state-of-the-art computer-aided audit techniques, with practical guidelines on how to get much needed data, overcome organizational roadblocks, build data analysis skills, as well as address Continuous Auditing issues. Chapter 1 CAATTs History, Chapter 2 Audit Technology, Chapter 3 Continuous Auditing, Chapter 4 CAATTs Benefits and Opportunities, Chapter 5 CAATTs for Broader Scoped Audits, Chapter 6 Data Access and Testing, Chapter 7 Developing CAATT Capabilities, Chapter 8 Challenges for Audit,
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."
Book Synopsis AUDIT ANALYTICS by : Arslan K. Khan
Download or read book AUDIT ANALYTICS written by Arslan K. Khan and published by Lulu.com. This book was released on 2016-08-15 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."
