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Managing Data Integrity for Finance

You're reading from   Managing Data Integrity for Finance Discover practical data quality management strategies for finance analysts and data professionals

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837630141
Length 434 pages
Edition 1st Edition
Languages
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Author (1):
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Jane Sarah Lat Jane Sarah Lat
Author Profile Icon Jane Sarah Lat
Jane Sarah Lat
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Toc

Table of Contents (16) Chapters Close

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 FREE CHAPTER 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

Summary

Detecting fraudulent transactions that affect financial report integrity is a critical challenge faced by organizations worldwide. In this chapter, we covered the fraud triangle to understand potential causes of fraud. Next, we talked about how financial reports are interpreted and discussed the different kinds of financial analysis that can be done. In the next part of the chapter, we discussed how fraudulent transactions affect overall financial report integrity. We explored the most common examples of financial statement fraud in the forms of fictitious revenues, improper capitalization of expenses, and misrepresentation of liabilities and debt. As we closed the chapter, we learned about the different ways to detect and prevent fraudulent transactions and anomalies. This chapter has given you the foundational skills and capabilities to understand financial reports and fraud detection.

In the next chapter, we will learn how to use database locking techniques for financial...

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