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

Concepts

Data Engineering

Author (1):

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

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Technical requirements

This chapter is a continuation of our discussion from Chapter 4, Understanding the Data Integrity Management Capabilities of Business Intelligence Tools, and Chapter 5, Using Business Intelligence Tools to Fix Data Integrity Issues. Thus, we will be using the same tools and datasets that we used previously:

Power BI Desktop: April 2023 or later (no licenses required)
Tableau Desktop: 2023.1 or later (free trial version)
Tableau Prep Builder: 2023.1.0 or later (free trial version)
Tableau Cloud: (free trial version)
Alteryx Designer: 2022.3 version or later (free trial version)

Our sample datasets are saved in the Packt GitHub repo: https://github.com/Packt Publishing/Managing-Data-Integrity-for-Finance/tree/main/ch05. Chapters 5 and 6 both use the same datasets for the hands-on exercises.

Note

It is recommended that you read both of the previous chapters mentioned for better appreciation and understanding of this chapter....