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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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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

Microsoft Excel and Google Sheets functionalities to improve data quality and integrity

In the previous sections, we covered how to create sample data quality scorecards in both Microsoft Excel and Google Sheets. In this section, we will discuss the built-in capabilities these tools have to enhance the quality and integrity of data. We will begin our discussion with version control, which is a way to monitor changes made to files. Next, we will talk about collaboration tools to enable multiple users to make changes to the same file and give read-write permissions. After that, we will cover the data validation functionality in Google Sheets, as we discussed this for Microsoft Excel in the previous chapter. Lastly, we will touch on conditional formatting, which is a very useful tool to help in reviewing movements and trends.

Version control

Users can make changes to a file and keep track of changes over time in both Microsoft Excel and Google Sheets. This gives a history of file...

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