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

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781837630141

Length 434 pages

Edition 1st Edition

Languages

SQL

Tools

Power BI

Concepts

Data Engineering

Author (1):

Jane Sarah Lat

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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 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

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Technical requirements

Before we start, we must have the following ready:

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)

It’s okay if you have not installed these applications yet—we will cover the installation when we discuss these tools in the Reviewing the most popular BI tools and how to get started with them section.

Note

This chapter will serve as the foundation for the hands-on examples that we will be working on in Chapter 5, Using Business Intelligence Tools to Fix Data Integrity Issues, and Chapter 6, Implementing Best Practices When Using Business Intelligence Tools.

The rest of the chapter is locked

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

Table of Contents (16) Chapters

Technical requirements

Authors (1)

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

Table of Contents (16) Chapters

Technical requirements

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Authors (1)

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