Split into six parts, contributors explore ways to integrate Audit Analytics techniques into existing audit programs for the financial industry. Chapters include topics such as fraud risks in the credit card sector, clustering techniques, fraud and anomaly detection, and using Audit Analytics to assess risk in the lawsuit and payment processes.

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. 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. Using R and RStudio, the book 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.

​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.

Myth-busting guidance for fraud preventionin a practical workbook format An excellent primer for developing and implementing an anti-fraud program that works, Financial Services Anti-Fraud Risk and Control Workbook engages readers in an absorbing self-paced learning experience to develop familiarity with the practical aspects of fraud detection and prevention at banks, investment firms, credit unions, insurance companies, and other financial services providers. Whether you are a bank executive, auditor, accountant, senior financial executive, financial services operations manager, loan officer, regulator, or examiner, this invaluable resource provides you with essential coverage of: How fraudsters exploit weaknesses in financial services organizations How fraudsters think and operate The tell-tale signs of different types of internal and external fraud against financial services companies Detecting corruption schemes such as bribery, kickbacks, and conflicts of interest, and the many innovative forms of financial records manipulation Conducting a successful fraud risk assessment Basic fraud detection tools and techniques for financial services companies, auditors, and investigators Fraud prevention lessons from the financial meltdown of 2007-2008 Written by a recognized expert in the field of fraud detection and prevention, this effective workbook is filled with interactive exercises, case studies, and chapter quizzes, and shares industry-tested methods for detecting, preventing, and reporting fraud. Discover how to mitigate fraud risks in your organization with the myth-busting techniques and tools in Financial Services Anti-Fraud Risk and Control Workbook.

The Routledge Handbook of Accounting Information Systems is a prestige reference work offering a comprehensive overview of the state of current knowledge and emerging scholarship in the discipline of AIS. The pace of technological-driven change is rapid, and this revised edition provides a deeper focus on the technical underpinnings and organisational consequences of accounting information systems. It has been updated to capture the changes in technology since the previous edition. It now includes chapters and scholarly thought on artificial intelligence, predictive analytics and data visualisation, among others. Contributions from an international cast of authors provide a balanced overview of established and developing themes, identifying issues and discussing relevant debates. The chapters are analytical and engaging. Many chapters include cases or examples, and some provide additional resources for readers. The chapters also provide a reflection on where the research agenda is likely to advance in the future. This is a complete and indispensable guide for students and researchers in accounting and accounting information systems, academics and students seeking convenient access to an unfamiliar area, as well as established researchers seeking a single repository on the current debates and literature in the field.

This alert provides auditors with an overview of recent economic, industry, technical, regulatory, and professional developments that may affect how auditors conduct audits and other engagements. An entity’s internal management can also use this alert to address areas of audit concern. Updates include: Economic and Industry Developments Legislative and Regulatory Developments Audit and Attestation Issues and Developments Revenue Recognition New Lease Standard Accounting for Financial Instruments Recent AICPA Independence and Developments

In the next wave of conduct regulation in financial markets, from 2021 conduct regulators in the UK and elsewhere expect firms to produce evidence on how they are improving behaviour and culture. Facing this, many practitioners are anxious that their current reporting and management information (MI) are irrelevant to meeting as-yet unclear regulatory expectations. This book provides the insights and tools firms need to report on culture, securing both enhanced business value and the regulator's approval. Culture is now seen as a key contributor to good governance, feeding into existing discourse on environmental, social and governance (ESG) factors and the emerging dialogue on 'non-financial (mis)conduct', but conventional measures of business quality are unfit for the new reporting agenda. Culture Audit in Financial Services follows the arc of 'behavioural regulation' to examine what the regulator really wants, before offering guidance on how culture audit differs from conventional auditing, how to put the latest pure-research findings to work, and the key features of well-designed conduct and culture reports. Written by an impartial author and a variety of contributors with extensive experience working with practitioners, regulators, and many of the world's finest academic initiatives, this book is filled with practical, grounded advice on how best to approach this new challenge and avoid infractions.

The effectiveness of internal audit activities is important for the sustainability of change in the public sector. In this sense, the tools and techniques used and the level of competencies of public sector auditors are decisive. This book deals with the effects of current technological developments in the public sector on auditing and risk management activities. Therefore, it is a resource for public internal auditors to create a digital audit strategy based on artificial intelligence (AI) and blockchain-based applications. Institutionalisation of their structures is important for public sector internal auditors. For this, basic requirements, future expectations, and best practices are explained. The digital business model is presented to produce value-added audit findings and outputs that guide public internal auditors and all digital-era stakeholders. This book is a pioneering work based on continuous auditing/continuous monitoring approaches using various AI and blockchain-based tools and techniques. There is nothing more valuable to the success of a public internal auditor than a detailed understanding of the business. The important lesson in developing business knowledge, especially in the new audit universe emerging with digital transformation, is that all auditors must understand that they never finish learning about business processes, risks, and control points in the digital era. They must constantly push themselves to be motivated and learn about the business operations they audit to implement new audit approaches powered by AI. In addition to obtaining up-to-date business information from process owners and stakeholders, public auditors responsible for conducting an AI-based continuous audit programme should also look inside their departments for a different perspective on business information that impacts continuous audit programme phase details and has the potential to add value. It should be noted that the additional source of information begins with your individual audit experience, digital skills, and qualifications.