Book Image

Managing Data Integrity for Finance

By : Jane Sarah Lat
Book Image

Managing Data Integrity for Finance

By: Jane Sarah Lat

Overview of this book

Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.
Table of Contents (16 chapters)
1
Part 1: Foundational Concepts for Data Quality and Data Integrity for Finance
5
Part 2: Pragmatic Solutions to Manage Financial Data Quality and Data Integrity
10
Part 3: Modern Strategies to Manage the Data Integrity of Finance Systems

Technical requirements

Before we dive into our discussion, we must have the following in place:

  • A web browser (to download the PostgreSQL installer)
  • PostgreSQL version 15 or later (If you haven’t installed this yet on your machine, don’t worry—we will cover the step-by-step installation in this chapter)

The PostgreSQL queries are saved in the Packt GitHub repository for this book and can be accessed at https://github.com/PacktPublishing/Managing-Data-Integrity-for-Finance/tree/main/ch08.

Once these are ready, you may proceed with the next steps.