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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

Why measure the impact of data integrity issues?

The impact of data integrity issues can have direct cost implications, indirect costs, and even lost opportunities for the business. Data integrity issues, especially in transaction data, may lead to direct costs to the business such as the cost of correcting errors, reworking processes, and potential regulatory penalties. The related costs given their nature could be quite significant.

Costs can also be indirect, such as a decrease in productivity, lower customer satisfaction, and harm to a company’s reputation. These can be quite difficult to estimate; however, they can still have a substantial impact on the bottom line. Problems with data integrity may also lead to lost opportunities, such as declines in sales or missed investment opportunities. Though these are quite challenging to quantify, they can still have a notable impact on the business’s financial performance.

Now that we have covered the different types...

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