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Managing Data Integrity for Finance

You're reading from  Managing Data Integrity for Finance

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781837630141
Pages 434 pages
Edition 1st Edition
Languages
Author (1):
Jane Sarah Lat Jane Sarah Lat
Profile icon Jane Sarah Lat

Table of Contents (16) Chapters

Preface 1. Part 1: Foundational Concepts for Data Quality and Data Integrity for Finance
2. Chapter 1: Recognizing the Importance of Data Integrity in Finance 3. Chapter 2: Avoiding Common Data Integrity Issues and Challenges in Finance Teams 4. Chapter 3: Measuring the Impact of Data Integrity Issues 5. Part 2: Pragmatic Solutions to Manage Financial Data Quality and Data Integrity
6. Chapter 4: Understanding the Data Integrity Management Capabilities of Business Intelligence Tools 7. Chapter 5: Using Business Intelligence Tools to Fix Data Integrity Issues 8. Chapter 6: Implementing Best Practices When Using Business Intelligence Tools 9. Chapter 7: Detecting Fraudulent Transactions Affecting Financial Report Integrity 10. Part 3: Modern Strategies to Manage the Data Integrity of Finance Systems
11. Chapter 8: Using Database Locking Techniques for Financial Transaction Integrity 12. Chapter 9: Using Managed Ledger Databases for Finance Data Integrity 13. Chapter 10: Using Artificial Intelligence for Finance Data Quality Management 14. Index 15. Other Books You May Enjoy

Common myths and misconceptions about financial fraud

Understanding the myths and misconceptions surrounding financial fraud is critical for safeguarding assets and also for maintaining the integrity of financial reports. This section dives deep into common misconceptions and illustrates them with real-world examples and scenarios to give you a better understanding and awareness to counteract fraud effectively.

Myth 1—the impact of fraud is insignificant

The incorrect belief that financial fraud is immaterial or insignificant can lead to a complacent outlook toward financial monitoring and control. Such an attitude can set a bad starting point, allowing fraudulent activities to go unnoticed.

Note

For example, imagine yourself being a business owner who unfortunately overlooked minor discrepancies in the cash register only to discover months later that a significant sum had been embezzled by an employee over time! The accumulation of these small discrepancies would...

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