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

Summary

Detecting fraudulent transactions that affect financial report integrity is a critical challenge faced by organizations worldwide. In this chapter, we covered the fraud triangle to understand potential causes of fraud. Next, we talked about how financial reports are interpreted and discussed the different kinds of financial analysis that can be done. In the next part of the chapter, we discussed how fraudulent transactions affect overall financial report integrity. We explored the most common examples of financial statement fraud in the forms of fictitious revenues, improper capitalization of expenses, and misrepresentation of liabilities and debt. As we closed the chapter, we learned about the different ways to detect and prevent fraudulent transactions and anomalies. This chapter has given you the foundational skills and capabilities to understand financial reports and fraud detection.

In the next chapter, we will learn how to use database locking techniques for financial...