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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

Handling missing financial reporting data with AI

In this section, we will use ChatGPT to help us understand what our sample Excel files contain and check for any outliers, missing values, and data inconsistencies. We will be using datasets created specifically for this section to get more appreciation for this tool’s capabilities. The steps are as follows:

  1. Create a new chat using the Data Analysis GPT, as shown in Figure 10.34. As an alternative, you may use the Advanced Data Analysis feature (using GPT-4), as shown in Figure 10.13.
    Figure 10.34 – Using the Data Analysis GPT

    Figure 10.34 – Using the Data Analysis GPT

Note

If you can’t access the Data Analysis GPT from the Explore section in the sidebar, you may use this link: https://chat.openai.com/g/g-HMNcP6w7d-data-analysis.

  1. Load the 2022 Transactions.xlsx, Products.xlsx, and Sales Price.xlsx files and type this prompt:
    Please examine the contents of these three files and provide information as to...
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