The Use Of Data Analytics In Internal Audit To Improve Decision Making
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The Use Of Data Analytics In Internal Audit To Improve Decision Making
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Author : Megan Seymore
language : en
Publisher:
Release Date : 2019
The Use Of Data Analytics In Internal Audit To Improve Decision Making written by Megan Seymore and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
The purpose of this dissertation was to examine how managers' judgments from an internal auditor's recommendation are influenced by some aspects of newer data sources and the related visualizations. This study specifically examined how managers' judgments from an internal auditor's recommendation are influenced by the (1) supportiveness of non-financial data with the internal auditor's recommendation and (2) evaluability of visual representations for non-financial data used to communicate the recommendation. This was investigated in a setting where financial data does not support the internal auditor's recommendation. To test my hypotheses, I conducted an experiment that uses an inventory write-down task to examine the likelihood that a manager agrees with an internal auditor's inventory write-down recommendation. This task was selected as it requires making a prediction and both financial and newer non-financial data sources are relevant to inform this judgment. The study was conducted with MBA students who proxy for managers in organizations. Evaluability of visual representations was operationalized as the (1) proximity of financial and non-financial graphs, and (2) type of non-financial graph as requiring a length judgment or not. This dissertation contributes to accounting literature and the internal auditing profession. First, I contribute to recent experimental literature on data analytics by providing evidence that newer non-financial data sources will be integrated into managers' judgments even when financial data is inconsistent. However, I also identified that the effectiveness of appropriate agreement with an internal auditor's recommendation depends on the evaluability of the visualizations for non-financial data. Second, I expand on the literature that examines managers' agreement with recommendations from internal auditors by examining an unexplored yet relevant context of using newer non-financial data sources and communicating these results. Specifically, I identified how the evaluability of visual representations for non-financial data interacts with the supportiveness of non-financial data with the internal auditor's recommendation to create differences in managers' agreement with the recommendation. I also identified confidence in the internal auditor's recommendation as an explanatory variable in some situations. My findings also have practical value for the internal auditing profession to understand the importance of appropriate visualizations in audit reporting.
Data Analytics
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Author : Warren W. Stippich
language : en
Publisher:
Release Date : 2016
Data Analytics written by Warren W. Stippich and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Auditing, Internal categories.
Data Analytics For Internal Auditors
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Author : Richard E. Cascarino
language : en
Publisher: CRC Press
Release Date : 2017-03-16
Data Analytics For Internal Auditors written by Richard E. Cascarino and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Business & Economics categories.
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.
Inside Auditing A Modern Perspective
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-07-12
Inside Auditing A Modern Perspective written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Business & Economics categories.
In today's rapidly evolving business landscape, internal auditing is more critical than ever. "Inside Auditing: A Modern Perspective" provides a comprehensive and up-to-date guide to the theory and practice of internal auditing, offering a fresh perspective on the profession's role in corporate governance, risk management, and organizational performance. This book is a valuable resource for internal auditors, risk managers, compliance professionals, and anyone seeking a deeper understanding of the internal audit function. It covers a wide range of topics, including: * The evolving role of internal auditing in the digital age * The importance of internal audit quality assurance and continuous improvement * Emerging trends and innovations in internal audit practices * The use of technology to enhance audit effectiveness * Internal audit's contribution to corporate social responsibility * Internal audit's role in special topics such as IT audits, fraud investigations, and mergers and acquisitions Written by a team of experienced internal audit practitioners, "Inside Auditing: A Modern Perspective" is packed with practical insights and real-world examples. It is an essential resource for anyone looking to stay ahead of the curve in the dynamic field of internal auditing. Readers will gain a deeper understanding of internal audit's role in ensuring the integrity and transparency of organizations. They will learn how internal auditors can help organizations identify, assess, and mitigate risks, prevent fraud, and improve performance. "Inside Auditing: A Modern Perspective" is a must-read for anyone who wants to stay current with the latest developments in internal auditing. It is a valuable resource for internal auditors, risk managers, compliance professionals, and anyone seeking a deeper understanding of the internal audit function. If you like this book, write a review!
Brink S Modern Internal Auditing
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Author : Robert R. Moeller
language : en
Publisher: Wiley
Release Date : 2009-04-03
Brink S Modern Internal Auditing written by Robert R. Moeller and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-03 with Business & Economics categories.
Today's internal auditor is responsible for creating higher standards of professional conduct and for greater protection against inefficiency, misconduct, illegal activity, and fraud. Now completely revised and updated, Brink's Modern Internal Auditing, Seventh Edition is a comprehensive resource and reference book on the changing world of internal auditing, including new coverage of the role of the auditor and internal control. An invaluable resource for both the new and seasoned internal auditor, the Seventh Edition provides auditors with the body of knowledge needed in order to be effective.
Data Driven Decision Making Using Analytics
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Author : Parul Gandhi
language : en
Publisher: CRC Press
Release Date : 2021-12-16
Data Driven Decision Making Using Analytics written by Parul Gandhi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-16 with Computers categories.
This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.
Machine Learning And Modeling Techniques In Financial Data Science
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Author : Chen, Haojun
language : en
Publisher: IGI Global
Release Date : 2025-01-22
Machine Learning And Modeling Techniques In Financial Data Science written by Chen, Haojun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Business & Economics categories.
The integration of machine learning and modeling in finance is transforming how data is analyzed, enabling more accurate predictions, risk assessments, and strategic planning. These advanced techniques empower financial professionals to uncover hidden patterns, automate complex processes, and enhance decision-making in volatile markets. As industries increasingly rely on data-driven insights, the adoption of these tools contributes to greater efficiency, reduced uncertainty, and competitive advantage. This technological shift not only drives innovation within financial sectors but also supports broader economic stability and growth by improving forecasting and mitigating risks. Machine Learning and Modeling Techniques in Financial Data Science provides an updated review and highlights recent theoretical advances and breakthroughs in professional practices within financial data science, exploring the strategic roles of machine learning and modeling techniques across various domains in finance. It offers a comprehensive collection that brings together a wealth of knowledge and experience. Covering topics such as algorithmic trading, financial technology (FinTech), and natural language processing (NLP), this book is an excellent resource for business professionals, leaders, policymakers, researchers, academicians, and more.
Multidisciplinary Research In Arts Science Commerce Volume 23
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Author : Chief Editor- Biplab Auddya, Editor- Dr. N. Siddharthan, Dr. Akheel Mohammed, Zosangliani, Dr. Vani S V, Mr. Anand G. Shelar, Gadamsetty Surya
language : en
Publisher: The Hill Publication
Release Date : 2025-03-20
Multidisciplinary Research In Arts Science Commerce Volume 23 written by Chief Editor- Biplab Auddya, Editor- Dr. N. Siddharthan, Dr. Akheel Mohammed, Zosangliani, Dr. Vani S V, Mr. Anand G. Shelar, Gadamsetty Surya and has been published by The Hill Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Antiques & Collectibles categories.
Data Driven
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Author : Thomas C. Redman
language : en
Publisher: Harvard Business Press
Release Date : 2008-09-22
Data Driven written by Thomas C. Redman and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-22 with Business & Economics categories.
Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
Ai S Transformative Impact On Finance Auditing And Investment
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Author : Ghosn, Fadi
language : en
Publisher: IGI Global
Release Date : 2025-05-29
Ai S Transformative Impact On Finance Auditing And Investment written by Ghosn, Fadi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Business & Economics categories.
AI's transformative impact on finance, auditing, and investment revolutionizes the way financial systems operate, making processes more efficient, accurate, and data driven. In finance, AI automates complex tasks like risk assessment, fraud detection, and predictive analytics, allowing firms to make more informed decisions and manage risk with precision. In auditing, AI tools enhance the ability to analyze large amounts of financial data, identifying discrepancies that may have gone unnoticed, improving transparency and accountability. Investment strategies are reshaped as AI-powered algorithms optimize portfolio management, forecast market trends, and execute trades in real time, reducing human error and enabling faster decision-making. While these advancements offer incredible benefits, they also raise concerns about security, data privacy, and the potential for job displacement in traditional financial roles, which requires further exploration. AI's Transformative Impact on Finance, Auditing, and Investment examines how AI technologies are revolutionizing these critical sectors. It examines foundational AI concepts, including machine learning, natural language processing, and their applications in risk management, fraud detection, financial forecasting, and audit automation, discussing ethics, regulatory considerations, and future trends. This book covers topics such as policymaking, data analytics, and financial technology, and is a useful resource for business owners, policymakers, economists, academicians, researchers, and data scientists.