Data sleuth : using data in forensic accounting engagements and fraud investigations /: using data in forensic accounting engagements and fraud investigations. (2022)

• Record Type: Book
• Further Information: Note: Leah Wietholter.
• Authors: Wietholter, Leah
• Contents: FOREWORD PREFACE ACKNOWLEDGEMENTS CHAPTER 1: Building a Data Sleuth Team The First Team The Forensic Accountant Technical and Strategic Thorough and Efficient Detail Oriented and Effective Communication Accounting Knowledge and Legal Knowledge Meeting Deadlines and Developing Business Forensic Accountant Problems The Scalability Problem The Strategy Problem The Review Problem The Sustainability Problem Data Sleuth Solutions The Scalability Solution The Strategy Solution The Review Solution The Sustainability Solution References CHAPTER 2: The Data Sleuth Process Engagement Types The Case of the Reimbursing Controller Data-Driven Results Simultaneously Managing Client Expectations and Objectivity The Case of the Mistaken Divorcee Don't Be a Hired Gun There is a Middle Ground The Case of the Sentencing Hearing Professional Standards Professional Standards of Objectivity Conflicts of Interest Objectivity and Investigating Facts The Data Sleuth Process Client Onboarding The Case of the Next Day Deposition Risk-Based Analysis Case Planning Key Interviews Open-Source Research The Case of the Missing Inventory Data Analysis Other Data Sources and Evidence Subject Interviews Communication of Findings CHAPTER 3: The Data Sleuth Necessity Forensic Accounting Engagements versus External Financial Statement Audits The Evolution of Forensic Accounting The Case of the Cash Back Payroll Scheme Start with the Evidence, Not the Scheme The Case of the Gambling Executive Director CHAPTER 4: Data Sleuth Considerations Investigations Impact Real People The Case of the Non-Existent Inventory The Fraud Formula Staying on Task with Purpose in Mind The Investigation Decision Tree for a Data Sleuth Ensure the allegations fall within the investigator’s expertise Identify analysis and evidence required to verify allegations Verify the legitimacy of the allegations Investigate with client goals and possible recovery avenues in mind Recovery Avenues Recovery Avenue: Criminal Prosecution Recovery Avenue: Civil Proceedings Recovery Avenue: Insurance Reimbursement The Case of the Man Cave CHAPTER 5: Client Communication and Involvement The Case of the Client’s Drama Client Inquiry and Initial Meetings Initial Client Meetings Client Expectations Data Procurement Client Involvement During an Investigation Client Feedback The Case of the Overlooked Loss Ongoing Client Communication CHAPTER 6: The Data Sleuth Case Plan The Data Sleuth Process The Case of the Duplicate Payroll The Client’s Investigation Priorities Evaluate the Subject’s Access through Risk-Based Analysis Data Sleuth Analysis Framework Data Sleuth Analysis Framework Applications Case Example: Estate Dispute Case Example: Embezzlement Case Example: Partnership Dispute Case Example: Divorce Case Example: Economic Damages From Conceptual Venn Diagram to Comparative Data Analysis The Data Analysis Plan Investigation Priority Number 1 Investigation Priority Number 2 Investigation Priority Number 3 Data and Information Gathering Communication of the Case Plan The Case of the Duplicate Payroll – Conclusion CHAPTER 7: Risk-Based Analysis The Case of the Puzzling Entries Focus on Cash Money In Money Out Accounting Records and Interviews The Benefits of Risk-Based Analysis The Case of the Puzzling Entries - Conclusion Risk Focus in Audits v. Risk Focus in Investigations The Case of the Mom of the Year Consideration of Risk in Fraud Investigations Money In Money Out Case Findings 1 Altered Bank Statements Investigation Findings The Case of the Mom of the Year - Conclusion Evaluating Risk in Divorce Cases and Estate and Trust Disputes Divorce Cases Estate and Trust Disputes CHAPTER 8: Data Sources and Data Processing Techniques Data Sources Explained Quantitative and Qualitative Data Sources Data Sources for Quantitative Evidence of Missing Money or Loss or Subject’s Benefit Standard Data Sources Standard Data Source: Bank Statements Standard Data Source: Credit Card Statements Standard Data Source: Payroll Reports Non-Standard Data Sources Non-Standard Data Source: System Exports Non-Standard Data Source: Paper Conversion Data Sources for Qualitative Evidence Using Quantitative and Qualitative Data Sources Data Processing Techniques Relevant Period Getting organized before beginning data processing Considerations before Processing Data Account Scheduling Steps Formatting Account Schedules and Normalizing Payees CHAPTER 9: Standard Data Sleuth Analyses: Comparative Analysis and Source and Use Summaries Comparative Analysis The Case of the Cash Flow Fiasco Source and Use Summary and Analysis Bank Account Source and Use Analysis Sources (Deposits/Credits) Uses (Expenditures/Debits) How to Use the Bank Account Source and Use Summary Results Credit Card Account Source and Use Summary Sources (Payments/Credits) Uses (Purchases/Advances/Balance Transfers/Other Charges) How to Use the Credit Card Source and Use Summary Results CHAPTER 10:Standard Data Sleuth Analyses: Interesting Data Findings, Risk Indicator Analysis, and Payroll Analysis Interesting Data Findings Standard IDF Data Analysis Tests Benford’s Analysis Even-Dollar Amounts Large Individual Payments Month-Over-Month Pivot Table Extract Detailed Transactions from Source and Use Summaries Using Accounting Records in the Interesting Data Findings Analysis Create an Interesting Data Findings Summary Risk Indicator Analysis Risk Indicator Analysis Steps Example for Using Risk Indicator Analysis Payroll Analysis Ghost Employees Data Analysis Test: Number of Employees Data Analysis Test: Duplicate Social Security Numbers Data Analysis Test: Employee Records without Addresses Data Analysis Test: Employee Records with Duplicate Addresses Data Analysis Test: Total Risk Indicators and Comparing to Payroll Records The Case of the Limited Payroll Records Overpayments of Payroll Data Analysis Test: Pay Date Review Data Analysis Test: Even-Dollar Payments of Net Pay and Expense Reimbursements Data Analysis Test: Days of the Week Data Analysis Test: Large Individual Payments Data Analysis Test: Number of Payments to Employees Per Month Risk Indicator Analysis and Comparative Analysis The Case of the Overpaid Administrator CHAPTER 11: Findings, Reports and Testimony Findings Reports AReport for Cri
• Edition: 1st
• Publisher Details: Hoboken : John Wiley & Sons, Inc
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 363.25963; Forensic accounting; Fraud investigation
• Languages: English
• ISBNs: 9781119834397
• Related ISBNs: 9781119834380
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.