With over 300 images, Forensic Analytics reviews and shows how twenty substantive and rigorous tests can be used to detect fraud, errors, estimates, or biases in your data. For each test, the original data is shown with the steps needed to get to the final result. The tests range from high-level data overviews to assess the reasonableness of data, to highly focused tests that give small samples of highly suspicious transactions. These tests are relevant to your organization, whether small or large, for profit, nonprofit, or government-related.
Forensic Analytics shows how you can use Microsoft Access and Excel as your primary data interrogation tools to find exceptional, irregular, and anomalous records.
Mark J. Nigrini, PhD, is an Associate Professor at The College of New Jersey, where he teaches auditing and forensic accounting. His current research addresses forensic and continuous monitoring techniques and advanced theoretical work on Benford's Law. Dr. Nigrini has published his Benford's Law and forensic accounting research in academic journals and in professional accounting and auditing publications. He has been interviewed on radio and television and his work has been discussed in publications including the Wall Street Journal and the New York Times.
Acknowledgments.
Chapter 1: Using Access in Forensic Investigations.
Chapter 2: Using Excel in Forensic Investigations.
Chapter 3: Using PowerPoint in Forensic Presentations.
Chapter 4: High-Level Data Overview Tests.
Chapter 5: Benford's Law: the Basics.
Chapter 6: Benford's Law: Assessing Conformity.
Chapter 7: Benford's Law: the Second-Order and Summation Tests.
Chapter 8: Benford's Law: the Number Duplication and Last-Two Digits Tests.
Chapter 9: Testing the Internal Diagnostics of Current Period and Prior Period Data.
Chapter 10: Identifying Fraud Using the Largest Subsets and Largest Growth Tests.
Chapter 11: Identifying Anomalies Using the Relative Size Factor Test.
Chapter 12: Identifying Fraud Using Abnormal Duplications within Subsets.
Chapter 13: Identifying Fraud Using Correlation.
Chapter 14: Identifying Fraud Using Time-Series Analysis.
Chapter 15: Fraud Risk Assessments of Forensic Units.
Chapter 16: Examples of Risk-Scoring with Access Queries.
Chapter 17: The Detection of Financial Statement Fraud.
Chapter 18: Using Analytics on Purchasing Card Transactions.
References.
About the Authors.
Index.
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。
