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

Part 1: Foundational Concepts for Data Quality and Data Integrity for Finance

Chapter 1: Recognizing the Importance of Data Integrity in Finance

Chapter 2: Avoiding Common Data Integrity Issues and Challenges in Finance Teams

Chapter 3: Measuring the Impact of Data Integrity Issues

Part 2: Pragmatic Solutions to Manage Financial Data Quality and Data Integrity

Chapter 4: Understanding the Data Integrity Management Capabilities of Business Intelligence Tools

Chapter 5: Using Business Intelligence Tools to Fix Data Integrity Issues

Chapter 6: Implementing Best Practices When Using Business Intelligence Tools

Chapter 7: Detecting Fraudulent Transactions Affecting Financial Report Integrity

Part 3: Modern Strategies to Manage the Data Integrity of Finance Systems

Chapter 8: Using Database Locking Techniques for Financial Transaction Integrity

Chapter 9: Using Managed Ledger Databases for Finance Data Integrity

Chapter 10: Using Artificial Intelligence for Finance Data Quality Management

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. Thus, we will be using the software we used in the previous chapter:

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 official GitHub repo: https://github.com/PacktPublishing/Managing-Data-Integrity-for-Finance/tree/main/ch05.

We will be using the datasets created about a fictional company in our hands-on exercises throughout this chapter and Chapter 6, Implementing Best Practices When Using Business Intelligence Tools. Save the files on your computer, and then work on the hands-on solutions as you read along.

Note...