Fraud and fraud detection : a data analytics approach /

• Κύριος συγγραφέας: Gee, Sunder
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken : Wiley, 2014.
• Σειρά: Wiley corporate F&A series
• Θέματα: Fraud.; Managerial accounting.; Data mining.; BUSINESS & ECONOMICS / Accounting / General.; Electronic books.

"Detect fraud faster--no matter how well hidden--with IDEA automationFraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types...

Πίνακας περιεχομένων:

• Machine generated contents note: Preface Acknowledgments Chapter 1: Introduction Defining Fraud Anomalies versus Fraud Types of Fraud Assess the Risk of Fraud Conclusion Notes Chapter 2: Fraud Detection Recognizing Fraud Data Mining versus Data Analysis and Analytics Data Analytic Software Anomalies versus Fraud within Data Fraudulent Data Inclusions and Deletions Conclusion Notes Chapter 3: The Data Analysis Cycle Evaluating and Analysis Obtaining Data Files File Format Types Preparation for Data Analysis Arranging and Organizing Data Conclusion Notes Chapter 4: Statistics and Sampling Descriptive Statistics Inferential Statistics Measures of Center Measure of Dispersion Measure of Variability Sampling Conclusion Notes Chapter 5: Data Analytical Tests Benford's Law Number Duplication Test (NDT) Z- Score Relative Size Factor Test (RSF) Same
• Same
• Same Test (SSS) Same
• Same
• Different Test (SSD) Even Amounts Conclusion Notes Chapter 6: Advanced Data Analytical Tests Correlation Trend Analysis GEL
• 1 and GEL -2 Conclusion Note Chapter 7: Skimming and Cash Larceny Skimming Cash Larceny Case Study Conclusion Chapter 8: Billing Schemes Data and Data Familiarization Benford's Law Tests Relative Size Factor Test Z-Score Even Dollar Amounts Same-Same-Same Test Same-Same-Different Test Payments without Purchase Orders Test Length of Time between Invoice and Payment Dates Test Search for Post Office Box Match Employee Address to Supplier Duplicate addresses in Vendor Master Payments to vendors not in Master Gap Detection of Cheque number sequences Conclusion Note Chapter 9: Cheque Tampering Schemes Electronic Payments Fraud Prevention Cheque Tampering Data Analytic Tests Conclusion Chapter 10: Payroll Fraud Data and Data Familiarization Data Analysis The Payroll Register Payroll Master and Commission Tests Conclusion Notes Chapter 11: Expense Reimbursement Schemes Data and Data Analysis Conclusion and Audit Trail Notes Chapter 12: Register Disbursement Schemes False Refunds and Adjustments False Voids Concealment Data Analytic Tests Conclusion Chapter 13: Non-Cash Misappropriations Types of Non-Cash Misappropriations Concealment of Non-Cash Misappropriations Data Analytics Conclusion Chapter 14: Corruption Bribery Tender Schemes Kickbacks, Illegal Gratuities and Extortion Conflict of Interest Data Analytic Tests Concealment Conclusion Chapter 15: Money Laundering The Money Laundering Process Other Money Transfer Systems and New Opportunities Audit Areas and Data Files Conclusion Notes Chapter 16: Zapper Fraud Point of Sales System Case Study Quantifying the Zapped Records Additional POS Data Files to Analyse Missing and Modified Bills The Mark-up Ratios Conclusions and Solutions Notes Chapter 17: Automation and IDEAScript Considerations for Automation Creating IDEAScripts Conclusion Chapter 18: Conclusion Financial Statement Fraud IDEA Features Demonstrated Projects Overview Data Analytics: Final Words Notes About the Companion Website About the Author Index .